id string | submitter string | authors string | title string | comments string | journal-ref string | doi string | report-no string | categories string | license string | abstract string | versions list | update_date timestamp[ns] | authors_parsed sequence | cumulative_count int64 | __index_level_0__ int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2304.11567 | Wenxiong Liao | Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu,
Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, Xiang Li | Differentiate ChatGPT-generated and Human-written Medical Texts | null | null | 10.2196/48904 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Background: Large language models such as ChatGPT are capable of generating
grammatically perfect and human-like text content, and a large number of
ChatGPT-generated texts have appeared on the Internet. However, medical texts
such as clinical notes and diagnoses require rigorous validation, and erroneous
medical con... | [
{
"created": "Sun, 23 Apr 2023 07:38:07 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Liao",
"Wenxiong",
""
],
[
"Liu",
"Zhengliang",
""
],
[
"Dai",
"Haixing",
""
],
[
"Xu",
"Shaochen",
""
],
[
"Wu",
"Zihao",
""
],
[
"Zhang",
"Yiyang",
""
],
[
"Huang",
"Xiaoke",
""
],
[
"Zhu",
"... | 51,014 | 1,829,613 |
2307.03109 | Jindong Wang | Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu,
Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi
Chang, Philip S. Yu, Qiang Yang, Xing Xie | A Survey on Evaluation of Large Language Models | Accepted by ACM Transactions on Intelligent Systems and Technology
(TIST); 45 pages; More recent works; https://llm-eval.github.io/ | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) are gaining increasing popularity in both
academia and industry, owing to their unprecedented performance in various
applications. As LLMs continue to play a vital role in both research and daily
use, their evaluation becomes increasingly critical, not only at the task
level, but also at ... | [
{
"created": "Thu, 6 Jul 2023 16:28:35 GMT",
"version": "v1"
},
{
"created": "Sun, 9 Jul 2023 12:31:50 GMT",
"version": "v2"
},
{
"created": "Wed, 12 Jul 2023 15:43:03 GMT",
"version": "v3"
},
{
"created": "Thu, 13 Jul 2023 12:33:20 GMT",
"version": "v4"
},
{
"cre... | 2024-01-01T00:00:00 | [
[
"Chang",
"Yupeng",
""
],
[
"Wang",
"Xu",
""
],
[
"Wang",
"Jindong",
""
],
[
"Wu",
"Yuan",
""
],
[
"Yang",
"Linyi",
""
],
[
"Zhu",
"Kaijie",
""
],
[
"Chen",
"Hao",
""
],
[
"Yi",
"Xiaoyuan",
"... | 51,015 | 1,874,104 |
2312.17476 | Divya Sinha | Manikanta Loya, Divya Anand Sinha, Richard Futrell | Exploring the Sensitivity of LLMs' Decision-Making Capabilities:
Insights from Prompt Variation and Hyperparameters | EMNLP 2023 | null | 10.18653/v1/2023.findings-emnlp.241 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advancement of Large Language Models (LLMs) has led to their widespread
use across a broad spectrum of tasks including decision making. Prior studies
have compared the decision making abilities of LLMs with those of humans from a
psychological perspective. However, these studies have not always properly
accounted... | [
{
"created": "Fri, 29 Dec 2023 05:19:11 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Loya",
"Manikanta",
""
],
[
"Sinha",
"Divya Anand",
""
],
[
"Futrell",
"Richard",
""
]
] | 51,016 | 1,979,284 |
2312.17505 | Tuan-Anh Vu | Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh
Chung, Ivor W. Tsang, Sai-Kit Yeung | Leveraging Open-Vocabulary Diffusion to Camouflaged Instance
Segmentation | This work is under review | null | null | null | cs.CV cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Text-to-image diffusion techniques have shown exceptional capability of
producing high-quality images from text descriptions. This indicates that there
exists a strong correlation between the visual and textual domains. In
addition, text-image discriminative models such as CLIP excel in image
labelling from text prom... | [
{
"created": "Fri, 29 Dec 2023 07:59:07 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Vu",
"Tuan-Anh",
""
],
[
"Nguyen",
"Duc Thanh",
""
],
[
"Guo",
"Qing",
""
],
[
"Hua",
"Binh-Son",
""
],
[
"Chung",
"Nhat Minh",
""
],
[
"Tsang",
"Ivor W.",
""
],
[
"Yeung",
"Sai-Kit",
""
]
] | 51,017 | 1,979,313 |
2312.17515 | Zijing Shi | Zijing Shi, Meng Fang, Shunfeng Zheng, Shilong Deng, Ling Chen, Yali
Du | Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in
the Avalon Game | Code will release soon | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Multi-agent collaboration with Large Language Models (LLMs) demonstrates
proficiency in basic tasks, yet its efficiency in more complex scenarios
remains unexplored. In gaming environments, these agents often face situations
without established coordination protocols, requiring them to make intelligent
inferences abo... | [
{
"created": "Fri, 29 Dec 2023 08:26:54 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Shi",
"Zijing",
""
],
[
"Fang",
"Meng",
""
],
[
"Zheng",
"Shunfeng",
""
],
[
"Deng",
"Shilong",
""
],
[
"Chen",
"Ling",
""
],
[
"Du",
"Yali",
""
]
] | 51,018 | 1,979,323 |
2312.14769 | Abiodun Finbarrs Oketunji | Abiodun Finbarrs Oketunji, Muhammad Anas, Deepthi Saina | Large Language Model (LLM) Bias Index -- LLMBI | null | null | 10.5281/zenodo.10441700, 10.13140/RG.2.2.13670.80966 | null | cs.CL cs.AI cs.CY cs.LG | http://creativecommons.org/licenses/by/4.0/ | The Large Language Model Bias Index (LLMBI) is a pioneering approach designed
to quantify and address biases inherent in large language models (LLMs), such
as GPT-4. We recognise the increasing prevalence and impact of LLMs across
diverse sectors. This research introduces a novel metric, LLMBI, to
systematically meas... | [
{
"created": "Fri, 22 Dec 2023 15:38:13 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Dec 2023 12:33:08 GMT",
"version": "v2"
},
{
"created": "Fri, 29 Dec 2023 11:07:09 GMT",
"version": "v3"
}
] | 2024-01-01T00:00:00 | [
[
"Oketunji",
"Abiodun Finbarrs",
""
],
[
"Anas",
"Muhammad",
""
],
[
"Saina",
"Deepthi",
""
]
] | 51,019 | 1,976,577 |
2212.09611 | Li Dong | Yaru Hao, Zewen Chi, Li Dong, Furu Wei | Optimizing Prompts for Text-to-Image Generation | Accepted by NeurIPS-23 | null | null | null | cs.CL cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Well-designed prompts can guide text-to-image models to generate amazing
images. However, the performant prompts are often model-specific and misaligned
with user input. Instead of laborious human engineering, we propose prompt
adaptation, a general framework that automatically adapts original user input
to model-pre... | [
{
"created": "Mon, 19 Dec 2022 16:50:41 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Dec 2023 10:15:15 GMT",
"version": "v2"
}
] | 2024-01-01T00:00:00 | [
[
"Hao",
"Yaru",
""
],
[
"Chi",
"Zewen",
""
],
[
"Dong",
"Li",
""
],
[
"Wei",
"Furu",
""
]
] | 51,020 | 1,765,788 |
2312.17264 | Zhu Deng Dr | Yi Zou, Mengying Shi, Zhongjie Chen, Zhu Deng, ZongXiong Lei, Zihan
Zeng, Shiming Yang, HongXiang Tong, Lei Xiao, Wenwen Zhou | ESGReveal: An LLM-based approach for extracting structured data from ESG
reports | null | null | null | null | cs.CL cs.IR | http://creativecommons.org/licenses/by/4.0/ | ESGReveal is an innovative method proposed for efficiently extracting and
analyzing Environmental, Social, and Governance (ESG) data from corporate
reports, catering to the critical need for reliable ESG information retrieval.
This approach utilizes Large Language Models (LLM) enhanced with Retrieval
Augmented Genera... | [
{
"created": "Mon, 25 Dec 2023 06:44:32 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Zou",
"Yi",
""
],
[
"Shi",
"Mengying",
""
],
[
"Chen",
"Zhongjie",
""
],
[
"Deng",
"Zhu",
""
],
[
"Lei",
"ZongXiong",
""
],
[
"Zeng",
"Zihan",
""
],
[
"Yang",
"Shiming",
""
],
[
"Tong",
"HongXi... | 51,021 | 1,979,072 |
2205.10019 | Jiho Jin | Juhee Son, Jiho Jin, Haneul Yoo, JinYeong Bak, Kyunghyun Cho, Alice Oh | Translating Hanja Historical Documents to Contemporary Korean and
English | EMNLP Findings 2022 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | The Annals of Joseon Dynasty (AJD) contain the daily records of the Kings of
Joseon, the 500-year kingdom preceding the modern nation of Korea. The Annals
were originally written in an archaic Korean writing system, `Hanja', and were
translated into Korean from 1968 to 1993. The resulting translation was however
too ... | [
{
"created": "Fri, 20 May 2022 08:25:11 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Oct 2022 13:51:08 GMT",
"version": "v2"
},
{
"created": "Fri, 28 Oct 2022 06:46:11 GMT",
"version": "v3"
},
{
"created": "Fri, 30 Dec 2022 08:11:29 GMT",
"version": "v4"
},
{
"cr... | 2024-01-01T00:00:00 | [
[
"Son",
"Juhee",
""
],
[
"Jin",
"Jiho",
""
],
[
"Yoo",
"Haneul",
""
],
[
"Bak",
"JinYeong",
""
],
[
"Cho",
"Kyunghyun",
""
],
[
"Oh",
"Alice",
""
]
] | 51,022 | 1,654,431 |
2311.12475 | Panyut Sriwirote | Panyut Sriwirote, Jalinee Thapiang, Vasan Timtong, Attapol T.
Rutherford | PhayaThaiBERT: Enhancing a Pretrained Thai Language Model with
Unassimilated Loanwords | revised to fix formatting error, content unchanged | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | While WangchanBERTa has become the de facto standard in transformer-based
Thai language modeling, it still has shortcomings in regard to the
understanding of foreign words, most notably English words, which are often
borrowed without orthographic assimilation into Thai in many contexts. We
identify the lack of foreig... | [
{
"created": "Tue, 21 Nov 2023 09:37:42 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Dec 2023 19:22:12 GMT",
"version": "v2"
}
] | 2024-01-01T00:00:00 | [
[
"Sriwirote",
"Panyut",
""
],
[
"Thapiang",
"Jalinee",
""
],
[
"Timtong",
"Vasan",
""
],
[
"Rutherford",
"Attapol T.",
""
]
] | 51,023 | 1,955,442 |
2312.17253 | Rebeca D\'iaz-Redondo | Mohamed Kayed and Rebeca P. D\'iaz-Redondo and Alhassan Mabrouk | Deep Learning-based Sentiment Classification: A Comparative Survey | null | IEEE Access, 2020, vol. 8, p. 85616-85638 | 10.1109/ACCESS.2020.2992013 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, Deep Learning (DL) approaches have been applied to solve the
Sentiment Classification (SC) problem, which is a core task in reviews mining
or Sentiment Analysis (SA). The performances of these approaches are affected
by different factors. This paper addresses these factors and classifies them
into three cat... | [
{
"created": "Tue, 12 Dec 2023 15:57:44 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Kayed",
"Mohamed",
""
],
[
"Díaz-Redondo",
"Rebeca P.",
""
],
[
"Mabrouk",
"Alhassan",
""
]
] | 51,024 | 1,979,061 |
2312.17254 | Qian Hu | Palash Goyal, Qian Hu, Rahul Gupta | Faithful Model Evaluation for Model-Based Metrics | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Statistical significance testing is used in natural language processing (NLP)
to determine whether the results of a study or experiment are likely to be due
to chance or if they reflect a genuine relationship. A key step in significance
testing is the estimation of confidence interval which is a function of sample
va... | [
{
"created": "Tue, 19 Dec 2023 19:41:33 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Goyal",
"Palash",
""
],
[
"Hu",
"Qian",
""
],
[
"Gupta",
"Rahul",
""
]
] | 51,025 | 1,979,062 |
2312.17262 | Eva Onaindia | Oscar Sapena and Eva Onaindia | Multimodal Classification of Teaching Activities from University Lecture
Recordings | 18 pages | Appl. Sci. 2022, 12, 4785 | 10.3390/app12094785 | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The way of understanding online higher education has greatly changed due to
the worldwide pandemic situation. Teaching is undertaken remotely, and the
faculty incorporate lecture audio recordings as part of the teaching material.
This new online teaching-learning setting has largely impacted university
classes. While... | [
{
"created": "Sun, 24 Dec 2023 08:33:30 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Sapena",
"Oscar",
""
],
[
"Onaindia",
"Eva",
""
]
] | 51,026 | 1,979,070 |
2312.17642 | Ran Chen | Ran Chen, Xueqi Yao, Jing Zhao, Shuhan Xu, Sirui Zhang, Yijun Mao | Research on the Laws of Multimodal Perception and Cognition from a
Cross-cultural Perspective -- Taking Overseas Chinese Gardens as an Example | 16 figures,1 table | null | null | null | cs.AI cs.CL cs.CV cs.SI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This study aims to explore the complex relationship between perceptual and
cognitive interactions in multimodal data analysis,with a specific emphasis on
spatial experience design in overseas Chinese gardens. It is found that
evaluation content and images on social media can reflect individuals' concerns
and sentimen... | [
{
"created": "Fri, 29 Dec 2023 15:13:23 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Chen",
"Ran",
""
],
[
"Yao",
"Xueqi",
""
],
[
"Zhao",
"Jing",
""
],
[
"Xu",
"Shuhan",
""
],
[
"Zhang",
"Sirui",
""
],
[
"Mao",
"Yijun",
""
]
] | 51,027 | 1,979,450 |
2312.17532 | Yuncheng Huang | Yuncheng Huang, Qianyu He, Jiaqing Liang, Sihang Jiang, Yanghua Xiao
and Yunwen Chen | Enhancing Quantitative Reasoning Skills of Large Language Models through
Dimension Perception | Accepted in the 40th IEEE International Conference on Data
Engineering (ICDE 2024) | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantities are distinct and critical components of texts that characterize
the magnitude properties of entities, providing a precise perspective for the
understanding of natural language, especially for reasoning tasks. In recent
years, there has been a flurry of research on reasoning tasks based on large
language mo... | [
{
"created": "Fri, 29 Dec 2023 09:29:37 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Huang",
"Yuncheng",
""
],
[
"He",
"Qianyu",
""
],
[
"Liang",
"Jiaqing",
""
],
[
"Jiang",
"Sihang",
""
],
[
"Xiao",
"Yanghua",
""
],
[
"Chen",
"Yunwen",
""
]
] | 51,028 | 1,979,340 |
2210.16257 | Xinyu Zhu | Xinyu Zhu, Junjie Wang, Lin Zhang, Yuxiang Zhang, Ruyi Gan, Jiaxing
Zhang, Yujiu Yang | Solving Math Word Problems via Cooperative Reasoning induced Language
Models | Accepted to ACL 2023 Main Conference; Camera Ready | null | 10.18653/v1/2023.acl-long.245 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale pre-trained language models (PLMs) bring new opportunities to
challenging problems, especially those that need high-level intelligence, such
as the math word problem (MWPs). However, directly applying existing PLMs to
MWPs can fail as the generation process lacks sufficient supervision and thus
lacks fast... | [
{
"created": "Fri, 28 Oct 2022 16:47:03 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Dec 2022 13:52:26 GMT",
"version": "v2"
},
{
"created": "Thu, 4 May 2023 13:20:17 GMT",
"version": "v3"
},
{
"created": "Sun, 28 May 2023 11:29:14 GMT",
"version": "v4"
},
{
"cr... | 2024-01-01T00:00:00 | [
[
"Zhu",
"Xinyu",
""
],
[
"Wang",
"Junjie",
""
],
[
"Zhang",
"Lin",
""
],
[
"Zhang",
"Yuxiang",
""
],
[
"Gan",
"Ruyi",
""
],
[
"Zhang",
"Jiaxing",
""
],
[
"Yang",
"Yujiu",
""
]
] | 51,029 | 1,737,612 |
2312.17263 | Rui Song | Rui Song, Fausto Giunchiglia, Yingji Li, Mingjie Tian, Hao Xu | TACIT: A Target-Agnostic Feature Disentanglement Framework for
Cross-Domain Text Classification | Accepted by AAAI-2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Cross-domain text classification aims to transfer models from label-rich
source domains to label-poor target domains, giving it a wide range of
practical applications. Many approaches promote cross-domain generalization by
capturing domain-invariant features. However, these methods rely on unlabeled
samples provided ... | [
{
"created": "Mon, 25 Dec 2023 02:52:36 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Song",
"Rui",
""
],
[
"Giunchiglia",
"Fausto",
""
],
[
"Li",
"Yingji",
""
],
[
"Tian",
"Mingjie",
""
],
[
"Xu",
"Hao",
""
]
] | 51,030 | 1,979,071 |
2312.17535 | Shaojie Zhu | Shaojie Zhu, Zhaobin Wang, Chengxiang Zhuo, Hui Lu, Bo Hu and Zang Li | Olapa-MCoT: Enhancing the Chinese Mathematical Reasoning Capability of
LLMs | 10 pages, 1 figures | null | null | null | cs.AI cs.CL cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | CoT (Chain-of-Thought) is a way to solve reasoning problems for LLMs .
Recently, many researches appear for improving the CoT capability of LLMs. In
this work, we also proposed Olapa-MCoT, which is a LLMs based on llama2-13B PLM
for finetuning and alignment learning. During the alignment training, we
proposed the Sim... | [
{
"created": "Fri, 29 Dec 2023 09:33:35 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Zhu",
"Shaojie",
""
],
[
"Wang",
"Zhaobin",
""
],
[
"Zhuo",
"Chengxiang",
""
],
[
"Lu",
"Hui",
""
],
[
"Hu",
"Bo",
""
],
[
"Li",
"Zang",
""
]
] | 51,031 | 1,979,343 |
2312.17522 | Wei Zhu | Wei Zhu, Xiaoling Wang, Mosha Chen, Buzhou Tang | Overview of the PromptCBLUE Shared Task in CHIP2023 | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | This paper presents an overview of the PromptCBLUE shared task
(http://cips-chip.org.cn/2023/eval1) held in the CHIP-2023 Conference. This
shared task reformualtes the CBLUE benchmark, and provide a good testbed for
Chinese open-domain or medical-domain large language models (LLMs) in general
medical natural language... | [
{
"created": "Fri, 29 Dec 2023 09:05:00 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Zhu",
"Wei",
""
],
[
"Wang",
"Xiaoling",
""
],
[
"Chen",
"Mosha",
""
],
[
"Tang",
"Buzhou",
""
]
] | 51,032 | 1,979,330 |
2205.11152 | Meryem M'hamdi | Meryem M'hamdi, Xiang Ren, and Jonathan May | Cross-lingual Lifelong Learning | Camera-Ready Version of this paper published at ACL 2023
(https://aclanthology.org/2023.acl-long.217/) | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The longstanding goal of multi-lingual learning has been to develop a
universal cross-lingual model that can withstand the changes in multi-lingual
data distributions. There has been a large amount of work to adapt such
multi-lingual models to unseen target languages. However, the majority of work
in this direction f... | [
{
"created": "Mon, 23 May 2022 09:25:43 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Dec 2023 04:07:24 GMT",
"version": "v2"
}
] | 2024-01-01T00:00:00 | [
[
"M'hamdi",
"Meryem",
""
],
[
"Ren",
"Xiang",
""
],
[
"May",
"Jonathan",
""
]
] | 51,033 | 1,655,564 |
2312.17475 | Zonghai Yao | Xiaocheng Zhang, Zonghai Yao, Hong Yu | EHR Interaction Between Patients and AI: NoteAid EHR Interaction | To appear in the AAAI2024 Workshop on AI for Education (AI4ED) | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rapid advancement of Large Language Models (LLMs) and their
outstanding performance in semantic and contextual comprehension, the potential
of LLMs in specialized domains warrants exploration. This paper introduces the
NoteAid EHR Interaction Pipeline, an innovative approach developed using
generative LLMs t... | [
{
"created": "Fri, 29 Dec 2023 05:13:40 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Zhang",
"Xiaocheng",
""
],
[
"Yao",
"Zonghai",
""
],
[
"Yu",
"Hong",
""
]
] | 51,034 | 1,979,283 |
2312.17276 | Hanting Chen | Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie,
Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu,
Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao
Xu, Dacheng Tao | PanGu-$\pi$: Enhancing Language Model Architectures via Nonlinearity
Compensation | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The recent trend of large language models (LLMs) is to increase the scale of
both model size (\aka the number of parameters) and dataset to achieve better
generative ability, which is definitely proved by a lot of work such as the
famous GPT and Llama. However, large models often involve massive computational
costs, ... | [
{
"created": "Wed, 27 Dec 2023 11:49:24 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Wang",
"Yunhe",
""
],
[
"Chen",
"Hanting",
""
],
[
"Tang",
"Yehui",
""
],
[
"Guo",
"Tianyu",
""
],
[
"Han",
"Kai",
""
],
[
"Nie",
"Ying",
""
],
[
"Wang",
"Xutao",
""
],
[
"Hu",
"Hailin",
""... | 51,035 | 1,979,084 |
2312.17342 | Abhijit Mishra | Abhijit Mishra, Mingda Li, Soham Deo | SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language
Models for Private and Secure Inference | Accepted and to appear in AAAI 2024 | null | null | null | cs.CR cs.AI cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper addresses the privacy and security concerns associated with deep
neural language models, which serve as crucial components in various modern
AI-based applications. These models are often used after being pre-trained and
fine-tuned for specific tasks, with deployment on servers accessed through the
internet... | [
{
"created": "Thu, 28 Dec 2023 19:55:11 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Mishra",
"Abhijit",
""
],
[
"Li",
"Mingda",
""
],
[
"Deo",
"Soham",
""
]
] | 51,036 | 1,979,150 |
2312.17704 | Felipe Oliveira | Felipe Oliveira, Victoria Reis, Nelson Ebecken | TuPy-E: detecting hate speech in Brazilian Portuguese social media with
a novel dataset and comprehensive analysis of models | 15 pages, 7 figures, 10 tables | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Social media has become integral to human interaction, providing a platform
for communication and expression. However, the rise of hate speech on these
platforms poses significant risks to individuals and communities. Detecting and
addressing hate speech is particularly challenging in languages like Portuguese
due to... | [
{
"created": "Fri, 29 Dec 2023 17:47:00 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Oliveira",
"Felipe",
""
],
[
"Reis",
"Victoria",
""
],
[
"Ebecken",
"Nelson",
""
]
] | 51,037 | 1,979,512 |
2312.17710 | Li Du | Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason
Eisner, Holden Lee, Ryan Cotterell | Principled Gradient-based Markov Chain Monte Carlo for Text Generation | Preprint | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Recent papers have demonstrated the possibility of energy-based text
generation by adapting gradient-based sampling algorithms, a paradigm of MCMC
algorithms that promises fast convergence. However, as we show in this paper,
previous attempts on this approach to text generation all fail to sample
correctly from the t... | [
{
"created": "Fri, 29 Dec 2023 18:00:56 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Du",
"Li",
""
],
[
"Amini",
"Afra",
""
],
[
"Hennigen",
"Lucas Torroba",
""
],
[
"Yu",
"Xinyan Velocity",
""
],
[
"Eisner",
"Jason",
""
],
[
"Lee",
"Holden",
""
],
[
"Cotterell",
"Ryan",
""
]
] | 51,038 | 1,979,518 |
2312.17343 | Swarup Ranjan Behera | Swarup Ranjan Behera, Krishna Mohan Injeti, Jaya Sai Kiran Patibandla,
Praveen Kumar Pokala, and Balakrishna Reddy Pailla | AQUALLM: Audio Question Answering Data Generation Using Large Language
Models | null | null | null | null | cs.CL cs.AI cs.LG cs.MM cs.SD eess.AS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Audio Question Answering (AQA) constitutes a pivotal task in which machines
analyze both audio signals and natural language questions to produce precise
natural language answers. The significance of possessing high-quality, diverse,
and extensive AQA datasets cannot be overstated when aiming for the precision
of an A... | [
{
"created": "Thu, 28 Dec 2023 20:01:27 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Behera",
"Swarup Ranjan",
""
],
[
"Injeti",
"Krishna Mohan",
""
],
[
"Patibandla",
"Jaya Sai Kiran",
""
],
[
"Pokala",
"Praveen Kumar",
""
],
[
"Pailla",
"Balakrishna Reddy",
""
]
] | 51,039 | 1,979,151 |
2312.17337 | Markus Leippold | Tobias Schimanski, Chiara Colesanti Senni, Glen Gostlow, Jingwei Ni,
Tingyu Yu, Markus Leippold | Exploring Nature: Datasets and Models for Analyzing Nature-Related
Disclosures | null | null | null | null | cs.CL econ.GN q-fin.EC | http://creativecommons.org/licenses/by/4.0/ | Nature is an amorphous concept. Yet, it is essential for the planet's
well-being to understand how the economy interacts with it. To address the
growing demand for information on corporate nature disclosure, we provide
datasets and classifiers to detect nature communication by companies. We ground
our approach in the... | [
{
"created": "Thu, 28 Dec 2023 19:42:14 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Schimanski",
"Tobias",
""
],
[
"Senni",
"Chiara Colesanti",
""
],
[
"Gostlow",
"Glen",
""
],
[
"Ni",
"Jingwei",
""
],
[
"Yu",
"Tingyu",
""
],
[
"Leippold",
"Markus",
""
]
] | 51,040 | 1,979,145 |
2312.17661 | Yuqing Wang | Yuqing Wang, Yun Zhao | Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language
Models | Data and results are available at:
https://github.com/EternityYW/Gemini-Commonsense-Evaluation/ | null | null | null | cs.CL cs.AI cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The burgeoning interest in Multimodal Large Language Models (MLLMs), such as
OpenAI's GPT-4V(ision), has significantly impacted both academic and industrial
realms. These models enhance Large Language Models (LLMs) with advanced visual
understanding capabilities, facilitating their application in a variety of
multimo... | [
{
"created": "Fri, 29 Dec 2023 15:57:49 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Wang",
"Yuqing",
""
],
[
"Zhao",
"Yun",
""
]
] | 51,041 | 1,979,469 |
2312.17349 | Chenghua Lin | Zhihao Zhang, Yuan Zuo, Chenghua Lin, Junjie Wu | Language Model as an Annotator: Unsupervised Context-aware Quality
Phrase Generation | null | Knowledge-Based Systems 2024 | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Phrase mining is a fundamental text mining task that aims to identify quality
phrases from context. Nevertheless, the scarcity of extensive gold labels
datasets, demanding substantial annotation efforts from experts, renders this
task exceptionally challenging. Furthermore, the emerging, infrequent, and
domain-specif... | [
{
"created": "Thu, 28 Dec 2023 20:32:44 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Zhang",
"Zhihao",
""
],
[
"Zuo",
"Yuan",
""
],
[
"Lin",
"Chenghua",
""
],
[
"Wu",
"Junjie",
""
]
] | 51,042 | 1,979,157 |
2312.17295 | Bram Wouters | Bram Wouters | Optimizing watermarks for large language models | 15 pages; preprint | null | null | null | cs.CR cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rise of large language models (LLMs) and concerns about potential
misuse, watermarks for generative LLMs have recently attracted much attention.
An important aspect of such watermarks is the trade-off between their
identifiability and their impact on the quality of the generated text. This
paper introduces a... | [
{
"created": "Thu, 28 Dec 2023 16:10:51 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Wouters",
"Bram",
""
]
] | 51,043 | 1,979,103 |
2312.06172 | Jiawen Yi | Jiawen Yi and Guo Chen | Decoupling SQL Query Hardness Parsing for Text-to-SQL | 10 pages, 3 figures | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The fundamental goal of the Text-to-SQL task is to translate natural language
question into SQL query. Current research primarily emphasizes the information
coupling between natural language questions and schemas, and significant
progress has been made in this area. The natural language questions as the
primary task ... | [
{
"created": "Mon, 11 Dec 2023 07:20:46 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Dec 2023 08:46:15 GMT",
"version": "v2"
}
] | 2024-01-01T00:00:00 | [
[
"Yi",
"Jiawen",
""
],
[
"Chen",
"Guo",
""
]
] | 51,044 | 1,967,980 |
2312.17292 | Rohit Raj Rai | Rohit Raj Rai, Amit Awekar | Effect of dimensionality change on the bias of word embeddings | Accepted for publication in the Young Research Symposium Track of ACM
CODS-COMADS 2024. 2 pages | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Word embedding methods (WEMs) are extensively used for representing text
data. The dimensionality of these embeddings varies across various tasks and
implementations. The effect of dimensionality change on the accuracy of the
downstream task is a well-explored question. However, how the dimensionality
change affects ... | [
{
"created": "Thu, 28 Dec 2023 13:01:10 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Rai",
"Rohit Raj",
""
],
[
"Awekar",
"Amit",
""
]
] | 51,045 | 1,979,100 |
2309.15427 | Yijun Tian | Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang,
Nitesh V. Chawla, Panpan Xu | Graph Neural Prompting with Large Language Models | Accepted by AAAI 2024 | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) have shown remarkable generalization capability
with exceptional performance in various language modeling tasks. However, they
still exhibit inherent limitations in precisely capturing and returning
grounded knowledge. While existing work has explored utilizing knowledge graphs
(KGs) to e... | [
{
"created": "Wed, 27 Sep 2023 06:33:29 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Dec 2023 21:14:01 GMT",
"version": "v2"
}
] | 2024-01-01T00:00:00 | [
[
"Tian",
"Yijun",
""
],
[
"Song",
"Huan",
""
],
[
"Wang",
"Zichen",
""
],
[
"Wang",
"Haozhu",
""
],
[
"Hu",
"Ziqing",
""
],
[
"Wang",
"Fang",
""
],
[
"Chawla",
"Nitesh V.",
""
],
[
"Xu",
"Panpan"... | 51,046 | 1,920,231 |
2312.17591 | Dongfang Li | Dongfang Li, Baotian Hu, Qingcai Chen, Shan He | Towards Faithful Explanations for Text Classification with Robustness
Improvement and Explanation Guided Training | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Feature attribution methods highlight the important input tokens as
explanations to model predictions, which have been widely applied to deep
neural networks towards trustworthy AI. However, recent works show that
explanations provided by these methods face challenges of being faithful and
robust. In this paper, we p... | [
{
"created": "Fri, 29 Dec 2023 13:07:07 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Li",
"Dongfang",
""
],
[
"Hu",
"Baotian",
""
],
[
"Chen",
"Qingcai",
""
],
[
"He",
"Shan",
""
]
] | 51,047 | 1,979,399 |
2312.17289 | Antonio Caiado | Ant\^onio Junior Alves Caiado and Michael Hahsler | AI Content Self-Detection for Transformer-based Large Language Models | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | $ $The usage of generative artificial intelligence (AI) tools based on large
language models, including ChatGPT, Bard, and Claude, for text generation has
many exciting applications with the potential for phenomenal productivity
gains. One issue is authorship attribution when using AI tools. This is
especially import... | [
{
"created": "Thu, 28 Dec 2023 10:08:57 GMT",
"version": "v1"
}
] | 2024-01-01T00:00:00 | [
[
"Caiado",
"Antônio Junior Alves",
""
],
[
"Hahsler",
"Michael",
""
]
] | 51,048 | 1,979,097 |
2401.00290 | Karol Dobiczek | Aleksander Buszydlik, Karol Dobiczek, Micha{\l} Teodor Oko\'n, Konrad
Skublicki, Philip Lippmann, Jie Yang | Red Teaming for Large Language Models At Scale: Tackling Hallucinations
on Mathematics Tasks | Accepted to The ART of Safety: Workshop on Adversarial testing and
Red-Teaming for generative AI (IJCNLP-AACL 2023) | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of red teaming LLMs on elementary calculations and
algebraic tasks to evaluate how various prompting techniques affect the quality
of outputs. We present a framework to procedurally generate numerical questions
and puzzles, and compare the results with and without the application of
several re... | [
{
"created": "Sat, 30 Dec 2023 17:59:12 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Buszydlik",
"Aleksander",
""
],
[
"Dobiczek",
"Karol",
""
],
[
"Okoń",
"Michał Teodor",
""
],
[
"Skublicki",
"Konrad",
""
],
[
"Lippmann",
"Philip",
""
],
[
"Yang",
"Jie",
""
]
] | 51,049 | 1,979,846 |
2401.00609 | Richard Sutcliffe | Richard Sutcliffe | A Survey of Personality, Persona, and Profile in Conversational Agents
and Chatbots | 25 pages, 6 tables, 207 references | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a review of personality in neural conversational agents (CAs),
also called chatbots. First, we define Personality, Persona, and Profile. We
explain all personality schemes which have been used in CAs, and list models
under the scheme(s) which they use. Second we describe 21 datasets which have
been develop... | [
{
"created": "Sun, 31 Dec 2023 23:41:41 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Sutcliffe",
"Richard",
""
]
] | 51,050 | 1,980,165 |
2312.08299 | Van Minh Nguyen | Van Minh Nguyen, Nasheen Nur, William Stern, Thomas Mercer, Chiradeep
Sen, Siddhartha Bhattacharyya, Victor Tumbiolo, Seng Jhing Goh | Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted
Outcomes to Analyze Longitudinal Social Media Data | Presented at ICMLA 2023, Special Session: Machine Learning in Health,
8 pages, 6 figures, 7 tables | null | 10.1109/ICMLA58977.2023.00316 | null | cs.CL cs.CY cs.SI | http://creativecommons.org/licenses/by/4.0/ | The COVID-19 pandemic has escalated mental health crises worldwide, with
social isolation and economic instability contributing to a rise in suicidal
behavior. Suicide can result from social factors such as shame, abuse,
abandonment, and mental health conditions like depression, Post-Traumatic
Stress Disorder (PTSD),... | [
{
"created": "Wed, 13 Dec 2023 17:15:12 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Dec 2023 16:45:13 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Nguyen",
"Van Minh",
""
],
[
"Nur",
"Nasheen",
""
],
[
"Stern",
"William",
""
],
[
"Mercer",
"Thomas",
""
],
[
"Sen",
"Chiradeep",
""
],
[
"Bhattacharyya",
"Siddhartha",
""
],
[
"Tumbiolo",
"Victor",
""
... | 51,051 | 1,970,107 |
2401.00246 | Hongkun Hao | Hongkun Hao, Long Zhou, Shujie Liu, Jinyu Li, Shujie Hu, Rui Wang,
Furu Wei | Boosting Large Language Model for Speech Synthesis: An Empirical Study | null | null | null | null | cs.CL cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have made significant advancements in natural
language processing and are concurrently extending the language ability to
other modalities, such as speech and vision. Nevertheless, most of the previous
work focuses on prompting LLMs with perception abilities like auditory
comprehension, an... | [
{
"created": "Sat, 30 Dec 2023 14:20:04 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Hao",
"Hongkun",
""
],
[
"Zhou",
"Long",
""
],
[
"Liu",
"Shujie",
""
],
[
"Li",
"Jinyu",
""
],
[
"Hu",
"Shujie",
""
],
[
"Wang",
"Rui",
""
],
[
"Wei",
"Furu",
""
]
] | 51,052 | 1,979,802 |
2401.00273 | Kuan-Po Huang | Chih-Kai Yang, Kuan-Po Huang, Ke-Han Lu, Chun-Yi Kuan, Chi-Yuan Hsiao,
Hung-yi Lee | Investigating Zero-Shot Generalizability on Mandarin-English
Code-Switched ASR and Speech-to-text Translation of Recent Foundation Models
with Self-Supervision and Weak Supervision | Submitted to ICASSP 2024 Self-supervision in Audio, Speech and Beyond
workshop | null | null | null | eess.AS cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This work evaluated several cutting-edge large-scale foundation models based
on self-supervision or weak supervision, including SeamlessM4T, SeamlessM4T v2,
and Whisper-large-v3, on three code-switched corpora. We found that
self-supervised models can achieve performances close to the supervised model,
indicating the... | [
{
"created": "Sat, 30 Dec 2023 16:15:02 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Yang",
"Chih-Kai",
""
],
[
"Huang",
"Kuan-Po",
""
],
[
"Lu",
"Ke-Han",
""
],
[
"Kuan",
"Chun-Yi",
""
],
[
"Hsiao",
"Chi-Yuan",
""
],
[
"Lee",
"Hung-yi",
""
]
] | 51,053 | 1,979,829 |
2401.00582 | Yash Bingi | Yash Bingi and Yiqiao Yin | An Analysis of Embedding Layers and Similarity Scores using Siamese
Neural Networks | 10 pages, 11 figures | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Large Lanugage Models (LLMs) are gaining increasing popularity in a variety
of use cases, from language understanding and writing to assistance in
application development. One of the most important aspects for optimal
funcionality of LLMs is embedding layers. Word embeddings are distributed
representations of words i... | [
{
"created": "Sun, 31 Dec 2023 20:21:58 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Bingi",
"Yash",
""
],
[
"Yin",
"Yiqiao",
""
]
] | 51,054 | 1,980,138 |
2401.00284 | Maximilian Weber | Maximilian Weber, Merle Reichardt | Evaluation is all you need. Prompting Generative Large Language Models
for Annotation Tasks in the Social Sciences. A Primer using Open Models | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores the use of open generative Large Language Models (LLMs)
for annotation tasks in the social sciences. The study highlights the
challenges associated with proprietary models, such as limited reproducibility
and privacy concerns, and advocates for the adoption of open (source) models
that can be oper... | [
{
"created": "Sat, 30 Dec 2023 17:22:01 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Weber",
"Maximilian",
""
],
[
"Reichardt",
"Merle",
""
]
] | 51,055 | 1,979,840 |
2401.00579 | Omid Rohanian | Omid Rohanian, Mohammadmahdi Nouriborji, David A. Clifton | Exploring the Effectiveness of Instruction Tuning in Biomedical Language
Processing | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language Models (LLMs), particularly those similar to ChatGPT, have
significantly influenced the field of Natural Language Processing (NLP). While
these models excel in general language tasks, their performance in
domain-specific downstream tasks such as biomedical and clinical Named Entity
Recognition (NER), R... | [
{
"created": "Sun, 31 Dec 2023 20:02:10 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Rohanian",
"Omid",
""
],
[
"Nouriborji",
"Mohammadmahdi",
""
],
[
"Clifton",
"David A.",
""
]
] | 51,056 | 1,980,135 |
2401.00642 | Hyunwoo Yoo | Hyunwoo Yoo, Bahrad Sokhansanj, James R. Brown, Gail Rosen | Predicting Anti-microbial Resistance using Large Language Models | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | During times of increasing antibiotic resistance and the spread of infectious
diseases like COVID-19, it is important to classify genes related to antibiotic
resistance. As natural language processing has advanced with transformer-based
language models, many language models that learn characteristics of nucleotide
se... | [
{
"created": "Mon, 1 Jan 2024 03:04:14 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Yoo",
"Hyunwoo",
""
],
[
"Sokhansanj",
"Bahrad",
""
],
[
"Brown",
"James R.",
""
],
[
"Rosen",
"Gail",
""
]
] | 51,057 | 1,980,198 |
2401.00287 | Neeraj Varshney | Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral | The Art of Defending: A Systematic Evaluation and Analysis of LLM
Defense Strategies on Safety and Over-Defensiveness | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | As Large Language Models (LLMs) play an increasingly pivotal role in natural
language processing applications, their safety concerns become critical areas
of NLP research. This paper presents Safety and Over-Defensiveness Evaluation
(SODE) benchmark: a collection of diverse safe and unsafe prompts with
carefully desi... | [
{
"created": "Sat, 30 Dec 2023 17:37:06 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Varshney",
"Neeraj",
""
],
[
"Dolin",
"Pavel",
""
],
[
"Seth",
"Agastya",
""
],
[
"Baral",
"Chitta",
""
]
] | 51,058 | 1,979,843 |
2312.13401 | Kai Nylund | Kai Nylund, Suchin Gururangan, Noah A. Smith | Time is Encoded in the Weights of Finetuned Language Models | Added references to Jaidka et al. (2018) and Loureiro et al. (2022) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present time vectors, a simple tool to customize language models to new
time periods. Time vectors are created by finetuning a language model on data
from a single time (e.g., a year or month), and then subtracting the weights of
the original pretrained model. This vector specifies a direction in weight
space that... | [
{
"created": "Wed, 20 Dec 2023 20:04:45 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Dec 2023 22:11:07 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Nylund",
"Kai",
""
],
[
"Gururangan",
"Suchin",
""
],
[
"Smith",
"Noah A.",
""
]
] | 51,059 | 1,975,209 |
2401.00575 | Payam Karisani | Payam Karisani | Neural Networks Against (and For) Self-Training: Classification with
Small Labeled and Large Unlabeled Sets | ACL Findings 2023 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a semi-supervised text classifier based on self-training using one
positive and one negative property of neural networks. One of the weaknesses of
self-training is the semantic drift problem, where noisy pseudo-labels
accumulate over iterations and consequently the error rate soars. In order to
tackle this... | [
{
"created": "Sun, 31 Dec 2023 19:25:34 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Karisani",
"Payam",
""
]
] | 51,060 | 1,980,131 |
2401.00052 | Ramon Lawrence | Kevin Wang, Jason Ramos, Ramon Lawrence | ChatEd: A Chatbot Leveraging ChatGPT for an Enhanced Learning Experience
in Higher Education | To appear at INTED2024 - 18th annual International Technology,
Education and Development Conference | null | null | null | cs.CY cs.CL | http://creativecommons.org/licenses/by/4.0/ | With the rapid evolution of Natural Language Processing (NLP), Large Language
Models (LLMs) like ChatGPT have emerged as powerful tools capable of
transforming various sectors. Their vast knowledge base and dynamic interaction
capabilities represent significant potential in improving education by
operating as a perso... | [
{
"created": "Fri, 29 Dec 2023 19:11:55 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Wang",
"Kevin",
""
],
[
"Ramos",
"Jason",
""
],
[
"Lawrence",
"Ramon",
""
]
] | 51,061 | 1,979,608 |
2401.00095 | Felipe Matuoka | Felipe Akio Matsuoka | Automatic Essay Scoring in a Brazilian Scenario | 6 pages, 3 figures and 4 tables | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper presents a novel Automatic Essay Scoring (AES) algorithm tailored
for the Portuguese-language essays of Brazil's Exame Nacional do Ensino M\'edio
(ENEM), addressing the challenges in traditional human grading systems. Our
approach leverages advanced deep learning techniques to align closely with
human grad... | [
{
"created": "Fri, 29 Dec 2023 23:05:18 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Matsuoka",
"Felipe Akio",
""
]
] | 51,062 | 1,979,651 |
2401.00158 | Jinhao Jiang | Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen | ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained
Language Models for Question Answering over Knowledge Graph | EMNLP-23-Main; simple but effective SOTA on CWQ under a
weak-supervised setting | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Question Answering over Knowledge Graph (KGQA) aims to seek answer entities
for the natural language question from a large-scale Knowledge Graph~(KG). To
better perform reasoning on KG, recent work typically adopts a pre-trained
language model~(PLM) to model the question, and a graph neural network~(GNN)
based module... | [
{
"created": "Sat, 30 Dec 2023 07:18:54 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Jiang",
"Jinhao",
""
],
[
"Zhou",
"Kun",
""
],
[
"Zhao",
"Wayne Xin",
""
],
[
"Li",
"Yaliang",
""
],
[
"Wen",
"Ji-Rong",
""
]
] | 51,063 | 1,979,714 |
2401.00536 | Alex-R\u{a}zvan Ispas | Alex-R\u{a}zvan Ispas, Th\'eo Deschamps-Berger, Laurence Devillers | A Multi-Task, Multi-Modal Approach for Predicting Categorical and
Dimensional Emotions | Companion Publication of the 25th International Conference on
Multimodal Interaction (pp. 311-317) | null | 10.1145/3610661.3616190 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Speech emotion recognition (SER) has received a great deal of attention in
recent years in the context of spontaneous conversations. While there have been
notable results on datasets like the well known corpus of naturalistic dyadic
conversations, IEMOCAP, for both the case of categorical and dimensional
emotions, th... | [
{
"created": "Sun, 31 Dec 2023 16:48:03 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Ispas",
"Alex-Răzvan",
""
],
[
"Deschamps-Berger",
"Théo",
""
],
[
"Devillers",
"Laurence",
""
]
] | 51,064 | 1,980,092 |
2312.17660 | Pijus Kasparaitis | Pijus Kasparaitis | Normalization of Lithuanian Text Using Regular Expressions | 21 pages | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Text Normalization is an integral part of any text-to-speech synthesis
system. In a natural language text, there are elements such as numbers, dates,
abbreviations, etc. that belong to other semiotic classes. They are called
non-standard words (NSW) and need to be expanded into ordinary words. For this
purpose, it is... | [
{
"created": "Fri, 29 Dec 2023 15:56:24 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Jan 2024 08:59:40 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Kasparaitis",
"Pijus",
""
]
] | 51,065 | 1,979,468 |
2401.00437 | Peiwen Yuan | Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Boyuan Pan, Heda
Wang, Kan Li | BatchEval: Towards Human-like Text Evaluation | 19 pages, 9 figures | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Significant progress has been made in automatic text evaluation with the
introduction of large language models (LLMs) as evaluators. However, current
sample-wise evaluation paradigm suffers from the following issues: (1)
Sensitive to prompt design; (2) Poor resistance to noise; (3) Inferior ensemble
performance with ... | [
{
"created": "Sun, 31 Dec 2023 09:34:51 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Yuan",
"Peiwen",
""
],
[
"Feng",
"Shaoxiong",
""
],
[
"Li",
"Yiwei",
""
],
[
"Wang",
"Xinglin",
""
],
[
"Pan",
"Boyuan",
""
],
[
"Wang",
"Heda",
""
],
[
"Li",
"Kan",
""
]
] | 51,066 | 1,979,993 |
2401.00426 | Chaojie Wang | Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun
Wang, Lei Feng, Bo An | keqing: knowledge-based question answering is a nature chain-of-thought
mentor of LLM | 12 pages, 6 figures | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have exhibited remarkable performance on various
natural language processing (NLP) tasks, especially for question answering.
However, in the face of problems beyond the scope of knowledge, these LLMs tend
to talk nonsense with a straight face, where the potential solution could be
incorpo... | [
{
"created": "Sun, 31 Dec 2023 08:39:04 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Wang",
"Chaojie",
""
],
[
"Xu",
"Yishi",
""
],
[
"Peng",
"Zhong",
""
],
[
"Zhang",
"Chenxi",
""
],
[
"Chen",
"Bo",
""
],
[
"Wang",
"Xinrun",
""
],
[
"Feng",
"Lei",
""
],
[
"An",
"Bo",
""
... | 51,067 | 1,979,982 |
2312.14557 | Rongsheng Wang | Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Yaofei Duan, Kunyan Cai,
Han Ma, Jiaxi Cui, Jian Li, Patrick Cheong-Iao Pang, Yapeng Wang, Tao Tan | Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse
Mixture-of-Experts through Instruction-Tuning | 10 pages, 2 figures | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing research has demonstrated that refining large language models (LLMs)
through the utilization of machine-generated instruction-following data
empowers these models to exhibit impressive zero-shot capabilities for novel
tasks, without requiring human-authored instructions. In this paper, we
systematically inve... | [
{
"created": "Fri, 22 Dec 2023 09:30:41 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Jan 2024 09:24:47 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Wang",
"Rongsheng",
""
],
[
"Chen",
"Haoming",
""
],
[
"Zhou",
"Ruizhe",
""
],
[
"Duan",
"Yaofei",
""
],
[
"Cai",
"Kunyan",
""
],
[
"Ma",
"Han",
""
],
[
"Cui",
"Jiaxi",
""
],
[
"Li",
"Jian",
... | 51,068 | 1,976,365 |
2401.00424 | Shijue Huang | Shijue Huang, Libo Qin, Bingbing Wang, Geng Tu, Ruifeng Xu | SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation
for Multi-modal Intent Detection | Accepted by ICASSP 2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-modal intent detection aims to utilize various modalities to understand
the user's intentions, which is essential for the deployment of dialogue
systems in real-world scenarios. The two core challenges for multi-modal intent
detection are (1) how to effectively align and fuse different features of
modalities an... | [
{
"created": "Sun, 31 Dec 2023 08:33:37 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Huang",
"Shijue",
""
],
[
"Qin",
"Libo",
""
],
[
"Wang",
"Bingbing",
""
],
[
"Tu",
"Geng",
""
],
[
"Xu",
"Ruifeng",
""
]
] | 51,069 | 1,979,980 |
2312.16337 | Changmao Li | Changmao Li and Jeffrey Flanigan | Task Contamination: Language Models May Not Be Few-Shot Anymore | Accepted by AAAI 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) offer impressive performance in various
zero-shot and few-shot tasks. However, their success in zero-shot and few-shot
settings may be affected by task contamination, a potential limitation that has
not been thoroughly examined. This paper investigates how zero-shot and
few-shot performan... | [
{
"created": "Tue, 26 Dec 2023 21:17:46 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Li",
"Changmao",
""
],
[
"Flanigan",
"Jeffrey",
""
]
] | 51,070 | 1,978,145 |
2401.00238 | Thierry Poibeau | Ana-Isabel Duron-Tejedor and Pascal Amsili and Thierry Poibeau | How to Evaluate Coreference in Literary Texts? | Presented as a poster at the conference CHR2023 (non archival) | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this short paper, we examine the main metrics used to evaluate textual
coreference and we detail some of their limitations. We show that a unique
score cannot represent the full complexity of the problem at stake, and is thus
uninformative, or even misleading. We propose a new way of evaluating
coreference, taking... | [
{
"created": "Sat, 30 Dec 2023 14:02:36 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Duron-Tejedor",
"Ana-Isabel",
""
],
[
"Amsili",
"Pascal",
""
],
[
"Poibeau",
"Thierry",
""
]
] | 51,071 | 1,979,794 |
2401.00210 | Liam Magee | Tsvetelina Hristova, Liam Magee, Karen Soldatic | The Problem of Alignment | 23 pages, 1 figure | null | null | null | cs.CL cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Large Language Models produce sequences learned as statistical patterns from
large corpora. In order not to reproduce corpus biases, after initial training
models must be aligned with human values, preferencing certain continuations
over others. Alignment, which can be viewed as the superimposition of normative
struc... | [
{
"created": "Sat, 30 Dec 2023 11:44:59 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Hristova",
"Tsvetelina",
""
],
[
"Magee",
"Liam",
""
],
[
"Soldatic",
"Karen",
""
]
] | 51,072 | 1,979,766 |
2312.14335 | Zhichao Xu | Zhichao Xu | Context-aware Decoding Reduces Hallucination in Query-focused
Summarization | technical report | null | null | null | cs.CL cs.IR | http://creativecommons.org/licenses/by/4.0/ | Query-focused summarization (QFS) aims to provide a summary of a single
document/multi documents that can satisfy the information needs of a given
query. It is useful for various real-world applications, such as abstractive
snippet generation or more recent retrieval augmented generation (RAG). A
prototypical QFS pip... | [
{
"created": "Thu, 21 Dec 2023 23:42:13 GMT",
"version": "v1"
},
{
"created": "Sun, 31 Dec 2023 22:31:48 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Xu",
"Zhichao",
""
]
] | 51,073 | 1,976,143 |
2401.00388 | Shreyas Verma | Shreyas Verma, Manoj Parmar, Palash Choudhary, Sanchita Porwal | FusionMind -- Improving question and answering with external context
fusion | 5 pages, 4 figures, 4 tables | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Answering questions using pre-trained language models (LMs) and knowledge
graphs (KGs) presents challenges in identifying relevant knowledge and
performing joint reasoning.We compared LMs (fine-tuned for the task) with the
previously published QAGNN method for the Question-answering (QA) objective and
further measure... | [
{
"created": "Sun, 31 Dec 2023 03:51:31 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Verma",
"Shreyas",
""
],
[
"Parmar",
"Manoj",
""
],
[
"Choudhary",
"Palash",
""
],
[
"Porwal",
"Sanchita",
""
]
] | 51,074 | 1,979,944 |
2401.00383 | Enas Altarawneh | Enas Altarawneh, Ameeta Agrawal, Michael Jenkin, Manos Papagelis | Predicting Evoked Emotions in Conversations | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | Understanding and predicting the emotional trajectory in multi-party
multi-turn conversations is of great significance. Such information can be
used, for example, to generate empathetic response in human-machine interaction
or to inform models of pre-emptive toxicity detection. In this work, we
introduce the novel pr... | [
{
"created": "Sun, 31 Dec 2023 03:30:42 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Altarawneh",
"Enas",
""
],
[
"Agrawal",
"Ameeta",
""
],
[
"Jenkin",
"Michael",
""
],
[
"Papagelis",
"Manos",
""
]
] | 51,075 | 1,979,939 |
2401.00366 | Magdalena Wolska | Magdalena Wolska, Bernd Fr\"ohlich, Katrin Girgensohn, Sassan
Gholiagha, Dora Kiesel, J\"urgen Neyer, Patrick Riehmann, Mitja Sienknecht,
Benno Stein | Argumentation in Waltz's "Emerging Structure of International Politics'' | 9 pages | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We present an annotation scheme for argumentative and domain-specific aspects
of scholarly articles on the theory of International Relations. At
argumentation level we identify Claims and Support/Attack relations. At domain
level we model discourse content in terms of Theory and Data-related
statements. We annotate W... | [
{
"created": "Sun, 31 Dec 2023 01:51:43 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Wolska",
"Magdalena",
""
],
[
"Fröhlich",
"Bernd",
""
],
[
"Girgensohn",
"Katrin",
""
],
[
"Gholiagha",
"Sassan",
""
],
[
"Kiesel",
"Dora",
""
],
[
"Neyer",
"Jürgen",
""
],
[
"Riehmann",
"Patrick",
""
],... | 51,076 | 1,979,922 |
2401.00177 | Mohammad Ibrahim Qani | Mohammad Ibrahim Qani | Principle Interference in Technical and Scientific Translation | null | null | null | null | cs.CL physics.hist-ph | http://creativecommons.org/licenses/by/4.0/ | In this article, I will explore the nature of interference in translation,
especially in technical and scientific texts, using a descriptivist approach. I
will have a brief overview of the historical excursion of interference in
technical and scientific translation. My aim is to explain this phenomenon and
its causes... | [
{
"created": "Sat, 30 Dec 2023 09:04:30 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Qani",
"Mohammad Ibrahim",
""
]
] | 51,077 | 1,979,733 |
2310.11097 | Lorenzo Canale | Lorenzo Canale, Alberto Messina | Experimenting AI Technologies for Disinformation Combat: the IDMO
Project | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The Italian Digital Media Observatory (IDMO) project, part of a European
initiative, focuses on countering disinformation and fake news. This report
outlines contributions from Rai-CRITS to the project, including: (i) the
creation of novel datasets for testing technologies (ii) development of an
automatic model for c... | [
{
"created": "Tue, 17 Oct 2023 09:27:43 GMT",
"version": "v1"
},
{
"created": "Thu, 19 Oct 2023 09:41:29 GMT",
"version": "v2"
},
{
"created": "Fri, 20 Oct 2023 08:17:46 GMT",
"version": "v3"
},
{
"created": "Wed, 8 Nov 2023 09:57:39 GMT",
"version": "v4"
},
{
"cr... | 2024-01-02T00:00:00 | [
[
"Canale",
"Lorenzo",
""
],
[
"Messina",
"Alberto",
""
]
] | 51,078 | 1,933,354 |
2305.05928 | Kenichiro Ando | Kenichiro Ando, Satoshi Sekine, Mamoru Komachi | WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in
Wikipedia | AAAI 2024 Main Track Accepted | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Wikipedia can be edited by anyone and thus contains various quality
sentences. Therefore, Wikipedia includes some poor-quality edits, which are
often marked up by other editors. While editors' reviews enhance the
credibility of Wikipedia, it is hard to check all edited text. Assisting in
this process is very importan... | [
{
"created": "Wed, 10 May 2023 06:45:13 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Dec 2023 21:24:40 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Ando",
"Kenichiro",
""
],
[
"Sekine",
"Satoshi",
""
],
[
"Komachi",
"Mamoru",
""
]
] | 51,079 | 1,838,984 |
2401.00504 | Ran Chen | Chen Ran, Yao Xueqi, Jiang Xuhui, Han Zhengqi, Guo Jingze, Zhang
Xianyue, Lin Chunyu, Liu Chumin, Zhao Jing, Lian Zeke, Zhang Jingjing, Li
Keke | HSC-GPT: A Large Language Model for Human Settlements Construction | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The field of human settlement construction encompasses a range of spatial
designs and management tasks, including urban planning and landscape
architecture design. These tasks involve a plethora of instructions and
descriptions presented in natural language, which are essential for
understanding design requirements a... | [
{
"created": "Sun, 31 Dec 2023 13:56:15 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Ran",
"Chen",
""
],
[
"Xueqi",
"Yao",
""
],
[
"Xuhui",
"Jiang",
""
],
[
"Zhengqi",
"Han",
""
],
[
"Jingze",
"Guo",
""
],
[
"Xianyue",
"Zhang",
""
],
[
"Chunyu",
"Lin",
""
],
[
"Chumin",
"Liu",
... | 51,080 | 1,980,060 |
2401.00676 | Gelei Deng | Haodong Li, Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei
Zhang, Yang Liu, Guoai Xu, Guosheng Xu, Haoyu Wang | Digger: Detecting Copyright Content Mis-usage in Large Language Model
Training | null | null | null | null | cs.CR cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pre-training, which utilizes extensive and varied datasets, is a critical
factor in the success of Large Language Models (LLMs) across numerous
applications. However, the detailed makeup of these datasets is often not
disclosed, leading to concerns about data security and potential misuse. This
is particularly releva... | [
{
"created": "Mon, 1 Jan 2024 06:04:52 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Li",
"Haodong",
""
],
[
"Deng",
"Gelei",
""
],
[
"Liu",
"Yi",
""
],
[
"Wang",
"Kailong",
""
],
[
"Li",
"Yuekang",
""
],
[
"Zhang",
"Tianwei",
""
],
[
"Liu",
"Yang",
""
],
[
"Xu",
"Guoai",
"... | 51,081 | 1,980,232 |
2305.08298 | Jerry Wei | Jerry Wei and Le Hou and Andrew Lampinen and Xiangning Chen and Da
Huang and Yi Tay and Xinyun Chen and Yifeng Lu and Denny Zhou and Tengyu Ma
and Quoc V. Le | Symbol tuning improves in-context learning in language models | EMNLP 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We present symbol tuning - finetuning language models on in-context
input-label pairs where natural language labels (e.g., "positive/negative
sentiment") are replaced with arbitrary symbols (e.g., "foo/bar"). Symbol
tuning leverages the intuition that when a model cannot use instructions or
natural language labels to... | [
{
"created": "Mon, 15 May 2023 01:59:58 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Dec 2023 21:23:17 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Wei",
"Jerry",
""
],
[
"Hou",
"Le",
""
],
[
"Lampinen",
"Andrew",
""
],
[
"Chen",
"Xiangning",
""
],
[
"Huang",
"Da",
""
],
[
"Tay",
"Yi",
""
],
[
"Chen",
"Xinyun",
""
],
[
"Lu",
"Yifeng",
... | 51,082 | 1,841,354 |
2401.00824 | Thomas Lippincott | Tom Lippincott | Graph-Convolutional Autoencoder Ensembles for the Humanities,
Illustrated with a Study of the American Slave Trade | More in-depth technical companion to "A general neural ensemble
technique to support traditional scholarship", Digital Humanities 2020 | null | null | null | cs.LG cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a graph-aware autoencoder ensemble framework, with associated
formalisms and tooling, designed to facilitate deep learning for scholarship in
the humanities. By composing sub-architectures to produce a model isomorphic to
a humanistic domain we maintain interpretability while providing function
signature... | [
{
"created": "Mon, 1 Jan 2024 17:48:25 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Lippincott",
"Tom",
""
]
] | 51,083 | 1,980,380 |
2308.07931 | Ge Yang | William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling,
Phillip Isola | Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation | Project website at https://f3rm.csail.mit.edu, Accepted at the 7th
Annual Conference on Robot Learning (CoRL), 2023 in Atlanta, US | null | null | null | cs.CV cs.AI cs.CL cs.LG cs.RO | http://creativecommons.org/licenses/by/4.0/ | Self-supervised and language-supervised image models contain rich knowledge
of the world that is important for generalization. Many robotic tasks, however,
require a detailed understanding of 3D geometry, which is often lacking in 2D
image features. This work bridges this 2D-to-3D gap for robotic manipulation by
leve... | [
{
"created": "Thu, 27 Jul 2023 17:59:14 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Dec 2023 01:10:41 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Shen",
"William",
""
],
[
"Yang",
"Ge",
""
],
[
"Yu",
"Alan",
""
],
[
"Wong",
"Jansen",
""
],
[
"Kaelbling",
"Leslie Pack",
""
],
[
"Isola",
"Phillip",
""
]
] | 51,084 | 1,895,823 |
2312.15872 | Jia Cheng Hu | Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro
Capotondi | Heterogeneous Encoders Scaling In The Transformer For Neural Machine
Translation | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Although the Transformer is currently the best-performing architecture in the
homogeneous configuration (self-attention only) in Neural Machine Translation,
many State-of-the-Art models in Natural Language Processing are made of a
combination of different Deep Learning approaches. However, these models often
focus on... | [
{
"created": "Tue, 26 Dec 2023 03:39:08 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Hu",
"Jia Cheng",
""
],
[
"Cavicchioli",
"Roberto",
""
],
[
"Berardinelli",
"Giulia",
""
],
[
"Capotondi",
"Alessandro",
""
]
] | 51,085 | 1,977,680 |
2401.00811 | Keyvan Mahmoudi | Keyvan Mahmoudi, Heshaam Faili | PerSHOP -- A Persian dataset for shopping dialogue systems modeling | null | null | null | null | cs.CL cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Nowadays, dialogue systems are used in many fields of industry and research.
There are successful instances of these systems, such as Apple Siri, Google
Assistant, and IBM Watson. Task-oriented dialogue system is a category of
these, that are used in specific tasks. They can perform tasks such as booking
plane ticket... | [
{
"created": "Mon, 1 Jan 2024 16:42:56 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Mahmoudi",
"Keyvan",
""
],
[
"Faili",
"Heshaam",
""
]
] | 51,086 | 1,980,367 |
2401.00779 | Georg Wenzel | Georg Wenzel and Adam Jatowt | Temporal Validity Change Prediction | 9 pages, 9 figures, 3 tables | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Temporal validity is an important property of text that is useful for many
downstream applications, such as recommender systems, conversational AI, or
story understanding. Existing benchmarking tasks often require models to
identify the temporal validity duration of a single statement. However, in many
cases, additio... | [
{
"created": "Mon, 1 Jan 2024 14:58:53 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Wenzel",
"Georg",
""
],
[
"Jatowt",
"Adam",
""
]
] | 51,087 | 1,980,335 |
2307.11380 | Feng Jiang | Lingyi Yang, Feng Jiang, Haizhou Li | Is ChatGPT Involved in Texts? Measure the Polish Ratio to Detect
ChatGPT-Generated Text | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The remarkable capabilities of large-scale language models, such as ChatGPT,
in text generation have impressed readers and spurred researchers to devise
detectors to mitigate potential risks, including misinformation, phishing, and
academic dishonesty. Despite this, most previous studies have been
predominantly geare... | [
{
"created": "Fri, 21 Jul 2023 06:38:37 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Dec 2023 13:17:52 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Yang",
"Lingyi",
""
],
[
"Jiang",
"Feng",
""
],
[
"Li",
"Haizhou",
""
]
] | 51,088 | 1,882,375 |
2401.00761 | Wenxuan Wang | Wenxuan Wang, Juluan Shi, Zhaopeng Tu, Youliang Yuan, Jen-tse Huang,
Wenxiang Jiao, Michael R. Lyu | The Earth is Flat? Unveiling Factual Errors in Large Language Models | null | null | null | null | cs.SE cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language Models (LLMs) like ChatGPT are foundational in various
applications due to their extensive knowledge from pre-training and
fine-tuning. Despite this, they are prone to generating factual and commonsense
errors, raising concerns in critical areas like healthcare, journalism, and
education to mislead use... | [
{
"created": "Mon, 1 Jan 2024 14:02:27 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Wang",
"Wenxuan",
""
],
[
"Shi",
"Juluan",
""
],
[
"Tu",
"Zhaopeng",
""
],
[
"Yuan",
"Youliang",
""
],
[
"Huang",
"Jen-tse",
""
],
[
"Jiao",
"Wenxiang",
""
],
[
"Lyu",
"Michael R.",
""
]
] | 51,089 | 1,980,317 |
2310.05450 | Hongqiu Wu | Hongqiu Wu, Linfeng Liu, Hai Zhao, Min Zhang | Empower Nested Boolean Logic via Self-Supervised Curriculum Learning | Accepted by EMNLP2023 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Beyond the great cognitive powers showcased by language models, it is crucial
to scrutinize whether their reasoning capabilities stem from strong
generalization or merely exposure to relevant data. As opposed to constructing
increasingly complex logic, this paper probes into the boolean logic, the root
capability of ... | [
{
"created": "Mon, 9 Oct 2023 06:54:02 GMT",
"version": "v1"
},
{
"created": "Sun, 31 Dec 2023 04:20:00 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Wu",
"Hongqiu",
""
],
[
"Liu",
"Linfeng",
""
],
[
"Zhao",
"Hai",
""
],
[
"Zhang",
"Min",
""
]
] | 51,090 | 1,927,707 |
2312.08793 | Tony Wang | Tony T. Wang, Miles Wang, Kaivalya Hariharan, Nir Shavit | Forbidden Facts: An Investigation of Competing Objectives in Llama-2 | Accepted to the ATTRIB and SoLaR workshops at NeurIPS 2023; (v3:
clarified experimental details) | null | null | null | cs.LG cs.AI cs.CL cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | LLMs often face competing pressures (for example helpfulness vs.
harmlessness). To understand how models resolve such conflicts, we study
Llama-2-chat models on the forbidden fact task. Specifically, we instruct
Llama-2 to truthfully complete a factual recall statement while forbidding it
from saying the correct answ... | [
{
"created": "Thu, 14 Dec 2023 10:27:15 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Dec 2023 05:23:30 GMT",
"version": "v2"
},
{
"created": "Sun, 31 Dec 2023 05:30:30 GMT",
"version": "v3"
}
] | 2024-01-02T00:00:00 | [
[
"Wang",
"Tony T.",
""
],
[
"Wang",
"Miles",
""
],
[
"Hariharan",
"Kaivalya",
""
],
[
"Shavit",
"Nir",
""
]
] | 51,091 | 1,970,601 |
2401.00788 | Terry Yue Zhuo | Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, Leandro von
Werra, Harm de Vries, Qian Liu, Niklas Muennighoff | Astraios: Parameter-Efficient Instruction Tuning Code Large Language
Models | 25 pages (12 main), 19 figures, 8 tables | null | null | null | cs.CL cs.AI cs.SE | http://creativecommons.org/licenses/by/4.0/ | The high cost of full-parameter fine-tuning (FFT) of Large Language Models
(LLMs) has led to a series of parameter-efficient fine-tuning (PEFT) methods.
However, it remains unclear which methods provide the best cost-performance
trade-off at different model scales. We introduce Astraios, a suite of 28
instruction-tun... | [
{
"created": "Mon, 1 Jan 2024 15:30:19 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Zhuo",
"Terry Yue",
""
],
[
"Zebaze",
"Armel",
""
],
[
"Suppattarachai",
"Nitchakarn",
""
],
[
"von Werra",
"Leandro",
""
],
[
"de Vries",
"Harm",
""
],
[
"Liu",
"Qian",
""
],
[
"Muennighoff",
"Niklas",
""... | 51,092 | 1,980,344 |
2401.00689 | Rohitash Chandra | Mahek Vora, Tom Blau, Vansh Kachhwal, Ashu M. G. Solo, Rohitash
Chandra | Large language model for Bible sentiment analysis: Sermon on the Mount | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | The revolution of natural language processing via large language models has
motivated its use in multidisciplinary areas that include social sciences and
humanities and more specifically, comparative religion. Sentiment analysis
provides a mechanism to study the emotions expressed in text. Recently,
sentiment analysi... | [
{
"created": "Mon, 1 Jan 2024 07:35:29 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Vora",
"Mahek",
""
],
[
"Blau",
"Tom",
""
],
[
"Kachhwal",
"Vansh",
""
],
[
"Solo",
"Ashu M. G.",
""
],
[
"Chandra",
"Rohitash",
""
]
] | 51,093 | 1,980,245 |
2208.09709 | Chowdhury Rahman | Chowdhury Rafeed Rahman, MD. Hasibur Rahman, Samiha Zakir, Mohammad
Rafsan, Mohammed Eunus Ali | BSpell: A CNN-Blended BERT Based Bangla Spell Checker | null | Association for Computational Linguistics, 2023 | 10.18653/v1/2023.banglalp-1.2 | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Bangla typing is mostly performed using English keyboard and can be highly
erroneous due to the presence of compound and similarly pronounced letters.
Spelling correction of a misspelled word requires understanding of word typing
pattern as well as the context of the word usage. A specialized BERT model
named BSpell ... | [
{
"created": "Sat, 20 Aug 2022 15:21:35 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Jan 2024 01:35:08 GMT",
"version": "v2"
}
] | 2024-01-02T00:00:00 | [
[
"Rahman",
"Chowdhury Rafeed",
""
],
[
"Rahman",
"MD. Hasibur",
""
],
[
"Zakir",
"Samiha",
""
],
[
"Rafsan",
"Mohammad",
""
],
[
"Ali",
"Mohammed Eunus",
""
]
] | 51,094 | 1,700,421 |
2401.00751 | Quanjun Zhang | Quanjun Zhang, Juan Zhai, Chunrong Fang, Jiawei Liu, Weisong Sun,
Haichuan Hu, Qingyu Wang | Machine Translation Testing via Syntactic Tree Pruning | Accepted to ACM Transactions on Software Engineering and Methodology
2024 (TOSEM'24) | null | null | null | cs.CL cs.SE | http://creativecommons.org/licenses/by/4.0/ | Machine translation systems have been widely adopted in our daily life,
making life easier and more convenient. Unfortunately, erroneous translations
may result in severe consequences, such as financial losses. This requires to
improve the accuracy and the reliability of machine translation systems.
However, it is ch... | [
{
"created": "Mon, 1 Jan 2024 13:28:46 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Zhang",
"Quanjun",
""
],
[
"Zhai",
"Juan",
""
],
[
"Fang",
"Chunrong",
""
],
[
"Liu",
"Jiawei",
""
],
[
"Sun",
"Weisong",
""
],
[
"Hu",
"Haichuan",
""
],
[
"Wang",
"Qingyu",
""
]
] | 51,095 | 1,980,307 |
2401.00698 | Kiran Holla V | Kiran Voderhobli Holla, Chaithanya Kumar, Aryan Singh | Large Language Models aren't all that you need | null | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | This paper describes the architecture and systems built towards solving the
SemEval 2023 Task 2: MultiCoNER II (Multilingual Complex Named Entity
Recognition) [1]. We evaluate two approaches (a) a traditional Conditional
Random Fields model and (b) a Large Language Model (LLM) fine-tuned with a
customized head and co... | [
{
"created": "Mon, 1 Jan 2024 08:32:50 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Holla",
"Kiran Voderhobli",
""
],
[
"Kumar",
"Chaithanya",
""
],
[
"Singh",
"Aryan",
""
]
] | 51,096 | 1,980,254 |
2401.00690 | Yihan Chen | Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao | Benchmarking Large Language Models on Controllable Generation under
Diversified Instructions | Accepted to AAAI 2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While large language models (LLMs) have exhibited impressive
instruction-following capabilities, it is still unclear whether and to what
extent they can respond to explicit constraints that might be entailed in
various instructions. As a significant aspect of LLM alignment, it is thus
important to formulate such a sp... | [
{
"created": "Mon, 1 Jan 2024 07:35:31 GMT",
"version": "v1"
}
] | 2024-01-02T00:00:00 | [
[
"Chen",
"Yihan",
""
],
[
"Xu",
"Benfeng",
""
],
[
"Wang",
"Quan",
""
],
[
"Liu",
"Yi",
""
],
[
"Mao",
"Zhendong",
""
]
] | 51,097 | 1,980,246 |
2305.17760 | Khanh Nguyen | Khanh Nguyen | Language Models are Bounded Pragmatic Speakers: Understanding RLHF from
a Bayesian Cognitive Modeling Perspective | Proceedings of the First Workshop on Theory of Mind in Communicating
Agents at (TOM @ ICML 2023) | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | How do language models "think"? This paper formulates a probabilistic
cognitive model called the bounded pragmatic speaker, which can characterize
the operation of different variations of language models. Specifically, we
demonstrate that large language models fine-tuned with reinforcement learning
from human feedbac... | [
{
"created": "Sun, 28 May 2023 16:04:48 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Jun 2023 15:37:55 GMT",
"version": "v2"
},
{
"created": "Tue, 27 Jun 2023 13:16:42 GMT",
"version": "v3"
},
{
"created": "Fri, 7 Jul 2023 16:21:50 GMT",
"version": "v4"
},
{
"cr... | 2024-01-03T00:00:00 | [
[
"Nguyen",
"Khanh",
""
]
] | 51,098 | 1,850,816 |
2310.09520 | Haikang Deng | Haikang Deng, Colin Raffel | Reward-Augmented Decoding: Efficient Controlled Text Generation With a
Unidirectional Reward Model | null | null | 10.18653/v1/2023.emnlp-main.721 | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | While large language models have proven effective in a huge range of
downstream applications, they often generate text that is problematic or lacks
a desired attribute. In this paper, we introduce Reward-Augmented Decoding
(RAD), a text generation procedure that uses a small unidirectional reward
model to encourage a... | [
{
"created": "Sat, 14 Oct 2023 07:19:47 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Oct 2023 14:48:25 GMT",
"version": "v2"
},
{
"created": "Thu, 26 Oct 2023 20:04:47 GMT",
"version": "v3"
},
{
"created": "Tue, 2 Jan 2024 00:04:13 GMT",
"version": "v4"
}
] | 2024-01-03T00:00:00 | [
[
"Deng",
"Haikang",
""
],
[
"Raffel",
"Colin",
""
]
] | 51,099 | 1,931,777 |
2310.14587 | Liang Wang | Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder,
Furu Wei | Large Search Model: Redefining Search Stack in the Era of LLMs | SIGIR Forum, Vol. 57 No. 2 - December 2023 | null | null | null | cs.IR cs.CL | http://creativecommons.org/licenses/by/4.0/ | Modern search engines are built on a stack of different components, including
query understanding, retrieval, multi-stage ranking, and question answering,
among others. These components are often optimized and deployed independently.
In this paper, we introduce a novel conceptual framework called large search
model, ... | [
{
"created": "Mon, 23 Oct 2023 05:52:09 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Jan 2024 07:22:04 GMT",
"version": "v2"
}
] | 2024-01-03T00:00:00 | [
[
"Wang",
"Liang",
""
],
[
"Yang",
"Nan",
""
],
[
"Huang",
"Xiaolong",
""
],
[
"Yang",
"Linjun",
""
],
[
"Majumder",
"Rangan",
""
],
[
"Wei",
"Furu",
""
]
] | 51,100 | 1,936,844 |
2308.06035 | Viktor Kewenig | Viktor Kewenig, Andrew Lampinen, Samuel A. Nastase, Christopher
Edwards, Quitterie Lacome DEstalenx, Akilles Rechardt, Jeremy I Skipper and
Gabriella Vigliocco | Multimodality and Attention Increase Alignment in Natural Language
Prediction Between Humans and Computational Models | 20 pages, 4 figures, submitted to Nature Human Behaviour | null | null | null | cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | The potential of multimodal generative artificial intelligence (mAI) to
replicate human grounded language understanding, including the pragmatic,
context-rich aspects of communication, remains to be clarified. Humans are
known to use salient multimodal features, such as visual cues, to facilitate
the processing of up... | [
{
"created": "Fri, 11 Aug 2023 09:30:07 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Sep 2023 05:29:28 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Jan 2024 15:33:20 GMT",
"version": "v3"
}
] | 2024-01-03T00:00:00 | [
[
"Kewenig",
"Viktor",
""
],
[
"Lampinen",
"Andrew",
""
],
[
"Nastase",
"Samuel A.",
""
],
[
"Edwards",
"Christopher",
""
],
[
"DEstalenx",
"Quitterie Lacome",
""
],
[
"Rechardt",
"Akilles",
""
],
[
"Skipper",
"J... | 51,101 | 1,893,927 |
2401.01068 | Jerrold Soh | Jerrold Soh | Discovering Significant Topics from Legal Decisions with Selective
Inference | This is an accepted manuscript of work forthcoming in PhilTrans A.
Please cite the publisher's version only | null | 10.1098/rsta.2023.0147 | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | We propose and evaluate an automated pipeline for discovering significant
topics from legal decision texts by passing features synthesized with topic
models through penalised regressions and post-selection significance tests. The
method identifies case topics significantly correlated with outcomes,
topic-word distrib... | [
{
"created": "Tue, 2 Jan 2024 07:00:24 GMT",
"version": "v1"
}
] | 2024-01-03T00:00:00 | [
[
"Soh",
"Jerrold",
""
]
] | 51,102 | 1,980,624 |
2401.01197 | Yury Orlovskiy | Yury Orlovskiy, Camille Thibault, Anne Imouza, Jean-Fran\c{c}ois
Godbout, Reihaneh Rabbany, Kellin Pelrine | Uncertainty Resolution in Misinformation Detection | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Misinformation poses a variety of risks, such as undermining public trust and
distorting factual discourse. Large Language Models (LLMs) like GPT-4 have been
shown effective in mitigating misinformation, particularly in handling
statements where enough context is provided. However, they struggle to assess
ambiguous o... | [
{
"created": "Tue, 2 Jan 2024 13:01:50 GMT",
"version": "v1"
}
] | 2024-01-03T00:00:00 | [
[
"Orlovskiy",
"Yury",
""
],
[
"Thibault",
"Camille",
""
],
[
"Imouza",
"Anne",
""
],
[
"Godbout",
"Jean-François",
""
],
[
"Rabbany",
"Reihaneh",
""
],
[
"Pelrine",
"Kellin",
""
]
] | 51,103 | 1,980,753 |
2309.01105 | Cheonsu Jeong Dr | Cheonsu Jeong | A Study on the Implementation of Generative AI Services Using an
Enterprise Data-Based LLM Application Architecture | null | null | 10.54364/AAIML.2023.1191 | null | cs.AI cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This study presents a method for implementing generative AI services by
utilizing the Large Language Models (LLM) application architecture. With recent
advancements in generative AI technology, LLMs have gained prominence across
various domains. In this context, the research addresses the challenge of
information sca... | [
{
"created": "Sun, 3 Sep 2023 07:03:17 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Sep 2023 11:36:50 GMT",
"version": "v2"
}
] | 2024-01-03T00:00:00 | [
[
"Jeong",
"Cheonsu",
""
]
] | 51,104 | 1,905,909 |
2312.12850 | Michael Dalvean | Michael Dalvean | A Stochastic Analysis of the Linguistic Provenance of English Place
Names | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In English place name analysis, meanings are often derived from the
resemblance of roots in place names to topographical features, proper names
and/or habitation terms in one of the languages that have had an influence on
English place names. The problem here is that it is sometimes difficult to
determine the base la... | [
{
"created": "Wed, 20 Dec 2023 09:01:01 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Dec 2023 12:42:33 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Jan 2024 10:01:28 GMT",
"version": "v3"
}
] | 2024-01-03T00:00:00 | [
[
"Dalvean",
"Michael",
""
]
] | 51,105 | 1,974,658 |
2401.00907 | Qianxi Li | Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin and
Matthew E. Taylor | LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning
Language Models | Paper accepted in Human-Centric Representation Learning workshop at
AAAI 2024 (https://hcrl-workshop.github.io/2024/) | null | null | null | cs.LG cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Fine-tuning Large Language Models (LLMs) adapts a trained model to specific
downstream tasks, significantly improving task-specific performance. Supervised
Fine-Tuning (SFT) is a common approach, where an LLM is trained to produce
desired answers. However, LLMs trained with SFT sometimes make simple mistakes
and resu... | [
{
"created": "Sun, 31 Dec 2023 21:18:16 GMT",
"version": "v1"
}
] | 2024-01-03T00:00:00 | [
[
"Li",
"Qianxi",
""
],
[
"Cao",
"Yingyue",
""
],
[
"Kang",
"Jikun",
""
],
[
"Yang",
"Tianpei",
""
],
[
"Chen",
"Xi",
""
],
[
"Jin",
"Jun",
""
],
[
"Taylor",
"Matthew E.",
""
]
] | 51,106 | 1,980,463 |
2401.01183 | Shujie Li | Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan,
Wanwei He, Shao Yuan, Can Ma, Fei Huang, and Yongbin Li | Unifying Structured Data as Graph for Data-to-Text Pre-Training | Accepted for TACL. Pre-MIT Press publication version | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data-to-text (D2T) generation aims to transform structured data into natural
language text. Data-to-text pre-training has proved to be powerful in enhancing
D2T generation and yields impressive performances. However, previous
pre-training methods either oversimplified structured data into a sequence
without consideri... | [
{
"created": "Tue, 2 Jan 2024 12:23:49 GMT",
"version": "v1"
}
] | 2024-01-03T00:00:00 | [
[
"Li",
"Shujie",
""
],
[
"Li",
"Liang",
""
],
[
"Geng",
"Ruiying",
""
],
[
"Yang",
"Min",
""
],
[
"Li",
"Binhua",
""
],
[
"Yuan",
"Guanghu",
""
],
[
"He",
"Wanwei",
""
],
[
"Yuan",
"Shao",
""... | 51,107 | 1,980,739 |
2401.01044 | Jinlong Xue | Jinlong Xue, Yayue Deng, Yingming Gao, Ya Li | Auffusion: Leveraging the Power of Diffusion and Large Language Models
for Text-to-Audio Generation | Demo and implementation at https://auffusion.github.io | null | null | null | cs.SD cs.AI cs.CL eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advancements in diffusion models and large language models (LLMs) have
significantly propelled the field of AIGC. Text-to-Audio (TTA), a burgeoning
AIGC application designed to generate audio from natural language prompts, is
attracting increasing attention. However, existing TTA studies often struggle
with ge... | [
{
"created": "Tue, 2 Jan 2024 05:42:14 GMT",
"version": "v1"
}
] | 2024-01-03T00:00:00 | [
[
"Xue",
"Jinlong",
""
],
[
"Deng",
"Yayue",
""
],
[
"Gao",
"Yingming",
""
],
[
"Li",
"Ya",
""
]
] | 51,108 | 1,980,600 |
2401.00908 | Yulong Pei | Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin,
Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu | DocLLM: A layout-aware generative language model for multimodal document
understanding | 16 pages, 4 figures | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Enterprise documents such as forms, invoices, receipts, reports, contracts,
and other similar records, often carry rich semantics at the intersection of
textual and spatial modalities. The visual cues offered by their complex
layouts play a crucial role in comprehending these documents effectively. In
this paper, we ... | [
{
"created": "Sun, 31 Dec 2023 22:37:52 GMT",
"version": "v1"
}
] | 2024-01-03T00:00:00 | [
[
"Wang",
"Dongsheng",
""
],
[
"Raman",
"Natraj",
""
],
[
"Sibue",
"Mathieu",
""
],
[
"Ma",
"Zhiqiang",
""
],
[
"Babkin",
"Petr",
""
],
[
"Kaur",
"Simerjot",
""
],
[
"Pei",
"Yulong",
""
],
[
"Nourbakh... | 51,109 | 1,980,464 |
2401.01089 | Xianjun Yang | Xianjun Yang, Stephen D. Wilson, Linda Petzold | Quokka: An Open-source Large Language Model ChatBot for Material Science | Work in progress | null | null | null | cs.CL cs.AI cs.CE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper presents the development of a specialized chatbot for materials
science, leveraging the Llama-2 language model, and continuing pre-training on
the expansive research articles in the materials science domain from the S2ORC
dataset. The methodology involves an initial pretraining phase on over one
million do... | [
{
"created": "Tue, 2 Jan 2024 08:14:48 GMT",
"version": "v1"
}
] | 2024-01-03T00:00:00 | [
[
"Yang",
"Xianjun",
""
],
[
"Wilson",
"Stephen D.",
""
],
[
"Petzold",
"Linda",
""
]
] | 51,110 | 1,980,645 |
2309.12269 | Alexander Terenin | Andreas \"Ostling and Holli Sargeant and Huiyuan Xie and Ludwig Bull
and Alexander Terenin and Leif Jonsson and M{\aa}ns Magnusson and Felix
Steffek | The Cambridge Law Corpus: A Dataset for Legal AI Research | null | Advances in Neural Information Processing Systems, Datasets and
Benchmarks Track, 2023 | null | null | cs.CL cs.CY stat.AP | http://creativecommons.org/licenses/by/4.0/ | We introduce the Cambridge Law Corpus (CLC), a dataset for legal AI research.
It consists of over 250 000 court cases from the UK. Most cases are from the
21st century, but the corpus includes cases as old as the 16th century. This
paper presents the first release of the corpus, containing the raw text and
meta-data.... | [
{
"created": "Thu, 21 Sep 2023 17:24:40 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Sep 2023 19:35:21 GMT",
"version": "v2"
},
{
"created": "Sun, 29 Oct 2023 04:47:57 GMT",
"version": "v3"
},
{
"created": "Mon, 1 Jan 2024 23:48:58 GMT",
"version": "v4"
}
] | 2024-01-03T00:00:00 | [
[
"Östling",
"Andreas",
""
],
[
"Sargeant",
"Holli",
""
],
[
"Xie",
"Huiyuan",
""
],
[
"Bull",
"Ludwig",
""
],
[
"Terenin",
"Alexander",
""
],
[
"Jonsson",
"Leif",
""
],
[
"Magnusson",
"Måns",
""
],
[
... | 51,111 | 1,917,073 |
2311.15218 | Sai Akash Bathini | Sai Akash Bathini, Dagli Cihan | Real-Time Online Stock Forecasting Utilizing Integrated Quantitative and
Qualitative Analysis | null | null | null | null | cs.CL cs.CE cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The application of Machine learning to finance has become a familiar
approach, even more so in stock market forecasting. The stock market is highly
volatile, and huge amounts of data are generated every minute globally. The
extraction of effective intelligence from this data is of critical importance.
However, a coll... | [
{
"created": "Sun, 26 Nov 2023 07:19:10 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Dec 2023 14:49:36 GMT",
"version": "v2"
},
{
"created": "Mon, 1 Jan 2024 13:26:38 GMT",
"version": "v3"
},
{
"created": "Tue, 2 Jan 2024 15:13:44 GMT",
"version": "v4"
}
] | 2024-01-03T00:00:00 | [
[
"Bathini",
"Sai Akash",
""
],
[
"Cihan",
"Dagli",
""
]
] | 51,112 | 1,958,185 |
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