EMNLP
Collection
Accepted papers for EMNLP (Conference on Empirical Methods in Natural Language Processing), one dataset per year. • 13 items • Updated
title stringlengths 23 147 | paper_url stringlengths 43 46 | authors listlengths 1 61 | abstract large_stringlengths 407 2.03k ⌀ | anthology_id stringlengths 17 20 | doi stringlengths 29 32 | award stringclasses 5
values | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 2
values | embedding listlengths 768 768 |
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UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation | https://aclanthology.org/2024.emnlp-main.1/ | [
"Juhwan Choi",
"Yeonghwa Kim",
"Seunguk Yu",
"JungMin Yun",
"YoungBin Kim"
] | Although pre-trained language models have exhibited great flexibility and versatility with prompt-based few-shot learning, they suffer from the extensive parameter size and limited applicability for inference. Recent studies have suggested that PLMs be used as dataset generators and a tiny task-specific model be traine... | 2024.emnlp-main.1 | 10.18653/v1/2024.emnlp-main.1 | null | 2405.01022 | title_snapshot | [
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Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation | https://aclanthology.org/2024.emnlp-main.2/ | [
"Juhwan Choi",
"JungMin Yun",
"Kyohoon Jin",
"YoungBin Kim"
] | The quality of the dataset is crucial for ensuring optimal performance and reliability of downstream task models. However, datasets often contain noisy data inadvertently included during the construction process. Numerous attempts have been made to correct this issue through human annotators. However, hiring and managi... | 2024.emnlp-main.2 | 10.18653/v1/2024.emnlp-main.2 | null | 2404.09682 | title_snapshot | [
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FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document | https://aclanthology.org/2024.emnlp-main.3/ | [
"Joonho Yang",
"Seunghyun Yoon",
"ByeongJeong Kim",
"Hwanhee Lee"
] | Through the advent of pre-trained language models, there have been notable advancements in abstractive summarization systems. Simultaneously, a considerable number of novel methods for evaluating factual consistency in abstractive summarization systems has been developed. But these evaluation approaches incorporate sub... | 2024.emnlp-main.3 | 10.18653/v1/2024.emnlp-main.3 | null | 2404.11184 | title_snapshot | [
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Prompts have evil twins | https://aclanthology.org/2024.emnlp-main.4/ | [
"Rimon Melamed",
"Lucas Hurley McCabe",
"Tanay Wakhare",
"Yejin Kim",
"H. Howie Huang",
"Enric Boix-Adserà"
] | We discover that many natural-language prompts can be replaced by corresponding prompts that are unintelligible to humans but that provably elicit similar behavior in language models. We call these prompts “evil twins” because they are obfuscated and uninterpretable (evil), but at the same time mimic the functionality ... | 2024.emnlp-main.4 | 10.18653/v1/2024.emnlp-main.4 | null | 2311.07064 | title_snapshot | [
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Table Question Answering for Low-resourced Indic Languages | https://aclanthology.org/2024.emnlp-main.5/ | [
"Vaishali Pal",
"Evangelos Kanoulas",
"Andrew Yates",
"Maarten de Rijke"
] | TableQA is the task of answering questions over tables of structured information, returning individual cells or tables as output. TableQA research has focused primarily on high-resource languages, leaving medium- and low-resource languages with little progress due to scarcity of annotated data and neural models. We add... | 2024.emnlp-main.5 | 10.18653/v1/2024.emnlp-main.5 | null | 2410.03576 | title_snapshot | [
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ImageInWords: Unlocking Hyper-Detailed Image Descriptions | https://aclanthology.org/2024.emnlp-main.6/ | [
"Roopal Garg",
"Andrea Burns",
"Burcu Karagol Ayan",
"Yonatan Bitton",
"Ceslee Montgomery",
"Yasumasa Onoe",
"Andrew Bunner",
"Ranjay Krishna",
"Jason Michael Baldridge",
"Radu Soricut"
] | Despite the longstanding adage ”an image is worth a thousand words,” generating accurate hyper-detailed image descriptions remains unsolved. Trained on short web-scraped image-text, vision-language models often generate incomplete descriptions with visual inconsistencies. We address this via a novel data-centric approa... | 2024.emnlp-main.6 | 10.18653/v1/2024.emnlp-main.6 | null | 2405.02793 | title_snapshot | [
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LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay | https://aclanthology.org/2024.emnlp-main.7/ | [
"Yihuai Lan",
"Zhiqiang Hu",
"Lei Wang",
"Yang Wang",
"Deheng Ye",
"Peilin Zhao",
"Ee-Peng Lim",
"Hui Xiong",
"Hao Wang"
] | This paper explores the open research problem of understanding the social behaviors of LLM-based agents. Using Avalon as a testbed, we employ system prompts to guide LLM agents in gameplay. While previous studies have touched on gameplay with LLM agents, research on their social behaviors is lacking. We propose a novel... | 2024.emnlp-main.7 | 10.18653/v1/2024.emnlp-main.7 | null | 2310.14985 | title_snapshot | [
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When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection | https://aclanthology.org/2024.emnlp-main.8/ | [
"Xiangyu Zhang",
"Hexin Liu",
"Kaishuai Xu",
"Qiquan Zhang",
"Daijiao Liu",
"Beena Ahmed",
"Julien Epps"
] | Depression is a critical concern in global mental health, prompting extensive research into AI-based detection methods. Among various AI technologies, Large Language Models (LLMs) stand out for their versatility in healthcare applications. However, the application of LLMs in the identification and analysis of depressiv... | 2024.emnlp-main.8 | 10.18653/v1/2024.emnlp-main.8 | null | 2402.13276 | title_snapshot | [
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Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model | https://aclanthology.org/2024.emnlp-main.9/ | [
"Xiangyu Zhang",
"Daijiao Liu",
"Hexin Liu",
"Qiquan Zhang",
"Hanyu Meng",
"Leibny Paola Garcia",
"Eng Siong Chng",
"Lina Yao"
] | Recently, Denoising Diffusion Probabilistic Models (DDPMs) have attained leading performances across a diverse range of generative tasks. However, in the field of speech synthesis, although DDPMs exhibit impressive performance, their prolonged training duration and substantial inference costs hinder practical deploymen... | 2024.emnlp-main.9 | 10.18653/v1/2024.emnlp-main.9 | null | 2402.10642 | title_snapshot | [
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Hateful Word in Context Classification | https://aclanthology.org/2024.emnlp-main.10/ | [
"Sanne Hoeken",
"Sina Zarrieß",
"Özge Alacam"
] | Hate speech detection is a prevalent research field, yet it remains underexplored at the level of word meaning. This is significant, as terms used to convey hate often involve non-standard or novel usages which might be overlooked by commonly leveraged LMs trained on general language use. In this paper, we introduce th... | 2024.emnlp-main.10 | 10.18653/v1/2024.emnlp-main.10 | null | null | null | [
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Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze | https://aclanthology.org/2024.emnlp-main.11/ | [
"Özge Alacam",
"Sanne Hoeken",
"Sina Zarrieß"
] | Hate speech is a complex and subjective phenomenon. In this paper, we present a dataset (GAZE4HATE) that provides gaze data collected in a hate speech annotation experiment. We study whether the gaze of an annotator provides predictors of their subjective hatefulness rating, and how gaze features can improve Hate Speec... | 2024.emnlp-main.11 | 10.18653/v1/2024.emnlp-main.11 | null | null | null | [
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