Datasets:

cx-cmu
/

IdeaTaste

id stringlengths 3 43	title stringlengths 0 560 ⌀	abstract stringlengths 2 27k ⌀	publication_year int64 1.78k 2.03k	source_name stringlengths 2 244 ⌀	author_names listlengths 0 100 ⌀	institution_names listlengths 0 101 ⌀	topic_names listlengths 0 3 ⌀
https://openalex.org/W4387321091	Efficient Memory Management for Large Language Model Serving with PagedAttention	High throughput serving of large language models (LLMs) requires batching sufficiently many requests at a time. However, existing systems struggle because the key-value cache (KV cache) memory for each request is huge and grows and shrinks dynamically. When managed inefficiently, this memory can be significantly wasted...	2,023	null	[ "Woosuk Kwon", "Z. Li", "Siyuan Zhuang", "Ying Sheng", "L Zheng", "Cody Hao Yu", "Joseph E. Gonzalez", "Hao Zhang", "Ion Stoica" ]	[ "Berkeley College", "Stanford University", "University of California San Diego", "University of California, Berkeley" ]	[ "Topic Modeling", "Natural Language Processing Techniques", "Caching and Content Delivery" ]
https://openalex.org/W3129831491	ZeRO: Memory optimizations Toward Training Trillion Parameter Models	Large deep learning models offer significant accuracy gains, but training billions to trillions of parameters is challenging. Existing solutions such as data and model parallelisms exhibit fundamental limitations to fit these models into limited device memory, while obtaining computation, communication and development ...	2,020	null	[ "Samyam Rajbhandari", "Jeff Rasley", "Olatunji Ruwase", "Yuxiong He" ]	[]	[ "Advanced Neural Network Applications", "Parallel Computing and Optimization Techniques", "Algorithms and Data Compression" ]
https://openalex.org/W7133227460	FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness	Transformers are slow and memory-hungry on long sequences, since the time and memory complexity of self-attention are quadratic in sequence length. Approximate attention methods have attempted to address this problem by trading off model quality to reduce the compute complexity, but often do not achieve wall-clock spee...	2,022	null	[ "Tri Dao", "Dan Fu", "Stefano Ermon", "Atri Rudra", "Christopher Ré" ]	[]	[ "Gaze Tracking and Assistive Technology", "Personal Information Management and User Behavior", "Interactive and Immersive Displays" ]
https://openalex.org/W2954698171	Triton: an intermediate language and compiler for tiled neural network computations	The validation and deployment of novel research ideas in the field of Deep Learning is often limited by the availability of efficient compute kernels for certain basic primitives. In particular, operations that cannot leverage existing vendor libraries (e.g., cuBLAS, cuDNN) are at risk of facing poor device utilization...	2,019	null	[ "Philippe Tillet", "H. T. Kung", "David Cox" ]	[ "Harvard University", "Harvard University Press" ]	[ "Parallel Computing and Optimization Techniques", "Advanced Neural Network Applications", "Advanced Memory and Neural Computing" ]
https://openalex.org/W4406650295	AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration	Large language models (LLMs) have transformed numerous AI applications. On-device LLM is becoming increasingly important: running LLMs locally on edge devices can reduce cloud computing costs and protect users' privacy. However, the astronomical model size and the limited hardware resources pose significant deployment ...	2,025	GetMobile Mobile Computing and Communications	[ "Ji Lin", "Jiaming Tang", "Haotian Tang", "Shang Yang", "Guangxuan Xiao", "Song Han" ]	[ "IIT@MIT" ]	[ "Advanced Data Compression Techniques", "Blind Source Separation Techniques", "Advancements in Photolithography Techniques" ]
https://openalex.org/W4415797413	SGLang: Efficient Execution of Structured Language Model Programs	Large language models (LLMs) are increasingly used for complex tasks that require multiple generation calls, advanced prompting techniques, control flow, and structured inputs/outputs. However, efficient systems are lacking for programming and executing these applications. We introduce SGLang, a system for efficient ex...	2,024	null	[ "Lianmin Zheng", "Liangsheng Yin", "Zhiqiang Xie", "Chuyue Sun", "Jeff Huang", "Cody Yu", "Shiyi Cao", "Christos Kozyrakis", "Ion Stoica", "Joseph E. Gonzalez", "Clark Barrett", "Ying Sheng" ]	[]	[ "Model-Driven Software Engineering Techniques", "Natural Language Processing Techniques", "Logic, programming, and type systems" ]
https://openalex.org/W4416249188	Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving	Mooncake is the serving platform for Kimi, an LLM chatbot service developed by Moonshot AI. This platform features a KVCache-centric disaggregated architecture that not only separates prefill and decoding clusters but also efficiently utilizes the underexploited CPU, DRAM, SSD and NIC resources of the GPU cluster to es...	2,025	ACM Transactions on Storage	[ "Ruoyu Qin", "Zheming Li", "Weiran He", "Jialei Cui", "Heyi Tang", "Feng Ren", "Teng Ma", "Shangming Cai", "Y X Zhang", "Mingxing Zhang", "Yongwei Wu", "Weimin Zheng", "Xinran Xu" ]	[ "Alibaba Group (China)", "Health Decisions (United States)", "Tsinghua University" ]	[ "Big Data and Digital Economy", "AI in Service Interactions", "IoT and Edge/Fog Computing" ]
https://openalex.org/W2991040477	GPipe: Efficient Training of Giant Neural Networks using Pipeline\n Parallelism	Scaling up deep neural network capacity has been known as an effective\napproach to improving model quality for several different machine learning\ntasks. In many cases, increasing model capacity beyond the memory limit of a\nsingle accelerator has required developing special algorithms or\ninfrastructure. These soluti...	2,018	arXiv (Cornell University)	[ "Yanping Huang", "Youlong Cheng", "Ankur Bapna", "Orhan Fırat", "Mia Xu Chen", "Dehao Chen", "HyoukJoong Lee", "Jiquan Ngiam", "Quoc V. Le", "Yonghui Wu", "Zhifeng Chen" ]	[]	[ "Digital Imaging for Blood Diseases", "Domain Adaptation and Few-Shot Learning", "Cell Image Analysis Techniques" ]
https://openalex.org/W2973727699	Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism	Recent work in language modeling demonstrates that training large transformer models advances the state of the art in Natural Language Processing applications. However, very large models can be quite difficult to train due to memory constraints. In this work, we present our techniques for training very large transforme...	2,019	arXiv (Cornell University)	[ "Mohammad Shoeybi", "Mostofa Patwary", "Raul Puri", "Patrick LeGresley", "Jared Casper", "Bryan Catanzaro" ]	[ "Nvidia (United Kingdom)" ]	[ "Topic Modeling", "Natural Language Processing Techniques", "Speech Recognition and Synthesis" ]
https://openalex.org/W4287391717	Switch Transformers: Scaling to Trillion Parameter Models with Simple\n and Efficient Sparsity	In deep learning, models typically reuse the same parameters for all inputs.\nMixture of Experts (MoE) defies this and instead selects different parameters\nfor each incoming example. The result is a sparsely-activated model -- with\noutrageous numbers of parameters -- but a constant computational cost. However,\ndespi...	2,021	arXiv (Cornell University)	[ "William Fedus", "Barret Zoph", "Noam Shazeer" ]	[]	[ "Topic Modeling", "Natural Language Processing Techniques", "Domain Adaptation and Few-Shot Learning" ]
https://openalex.org/W4384648639	FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning	Scaling Transformers to longer sequence lengths has been a major problem in the last several years, promising to improve performance in language modeling and high-resolution image understanding, as well as to unlock new applications in code, audio, and video generation. The attention layer is the main bottleneck in sca...	2,023	arXiv (Cornell University)	[ "Tri Dao" ]	[]	[ "Advanced Neural Network Applications", "Parallel Computing and Optimization Techniques", "Advanced Data Storage Technologies" ]
https://openalex.org/W2949251082	TVM: An Automated End-to-End Optimizing Compiler for Deep Learning	There is an increasing need to bring machine learning to a wide diversity of hardware devices. Current frameworks rely on vendor-specific operator libraries and optimize for a narrow range of server-class GPUs. Deploying workloads to new platforms -- such as mobile phones, embedded devices, and accelerators (e.g., FPGA...	2,018	arXiv (Cornell University)	[ "Tianqi Chen", "Thierry Moreau", "Ziheng Jiang", "Lianmin Zheng", "Eddie Yan", "Meghan Cowan", "Haichen Shen", "Leyuan Wang", "Yuwei Hu", "Luís Ceze", "Carlos Guestrin", "Arvind Krishnamurthy" ]	[]	[ "Parallel Computing and Optimization Techniques", "Advanced Neural Network Applications", "Advanced Data Storage Technologies" ]
https://openalex.org/W4307934016	GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers	Generative Pre-trained Transformer models, known as GPT or OPT, set themselves apart through breakthrough performance across complex language modelling tasks, but also by their extremely high computational and storage costs. Specifically, due to their massive size, even inference for large, highly-accurate GPT models m...	2,022	arXiv (Cornell University)	[ "Elias Frantar", "Saleh Ashkboos", "Torsten Hoefler", "Dan Alistarh" ]	[]	[ "Topic Modeling", "Advanced Neural Network Applications", "Speech Recognition and Synthesis" ]
https://openalex.org/W4292119927	LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale	Large language models have been widely adopted but require significant GPU memory for inference. We develop a procedure for Int8 matrix multiplication for feed-forward and attention projection layers in transformers, which cut the memory needed for inference by half while retaining full precision performance. With our ...	2,022	arXiv (Cornell University)	[ "Tim Dettmers", "Lewis, Mike", "Younes Belkada", "Luke Zettlemoyer" ]	[]	[ "Ferroelectric and Negative Capacitance Devices", "Parallel Computing and Optimization Techniques", "Topic Modeling" ]
https://openalex.org/W4309591680	SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models	Large language models (LLMs) show excellent performance but are compute- and memory-intensive. Quantization can reduce memory and accelerate inference. However, existing methods cannot maintain accuracy and hardware efficiency at the same time. We propose SmoothQuant, a training-free, accuracy-preserving, and general-p...	2,022	arXiv (Cornell University)	[ "Guangxuan Xiao", "Ji Lin", "Mickaël Seznec", "Wu, Hao", "Julien Demouth", "Song Han" ]	[]	[ "Topic Modeling", "Natural Language Processing Techniques", "Machine Learning in Healthcare" ]
https://openalex.org/W4226479682	Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning	Alpa automates model-parallel training of large deep learning (DL) models by generating execution plans that unify data, operator, and pipeline parallelism. Existing model-parallel training systems either require users to manually create a parallelization plan or automatically generate one from a limited space of model...	2,022	arXiv (Cornell University)	[ "Lianmin Zheng", "Zhuohan Li", "Hao Zhang", "Yonghao Zhuang", "Zhifeng Chen", "Yanping Huang", "Yida Wang", "Yuanzhong Xu", "Danyang Zhuo", "Xing, Eric P.", "Joseph E. Gonzalez", "Ion Stoica" ]	[]	[ "Parallel Computing and Optimization Techniques", "Advanced Neural Network Applications", "Ferroelectric and Negative Capacitance Devices" ]
https://openalex.org/W4379260375	AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration	Large language models (LLMs) have transformed numerous AI applications. On-device LLM is becoming increasingly important: running LLMs locally on edge devices can reduce the cloud computing cost and protect users' privacy. However, the astronomical model size and the limited hardware resource pose significant deploymen...	2,023	arXiv (Cornell University)	[ "Ji Lin", "Jiaming Tang", "Haotian Tang", "Yang Shang", "Chen, Wei-Ming", "Wang, Wei-Chen", "Xiao, Guangxuan", "Dang, Xingyu", "Gan, Chuang", "Han, Song" ]	[]	[ "Topic Modeling", "Ferroelectric and Negative Capacitance Devices", "Speech Recognition and Synthesis" ]
https://openalex.org/W4308760184	Efficiently Scaling Transformer Inference	We study the problem of efficient generative inference for Transformer models, in one of its most challenging settings: large deep models, with tight latency targets and long sequence lengths. Better understanding of the engineering tradeoffs for inference for large Transformer-based models is important as use cases of...	2,022	arXiv (Cornell University)	[ "Reiner Pope", "Sholto Douglas", "Aakanksha Chowdhery", "Jacob Devlin", "James T. Bradbury", "Anselm Levskaya", "Jonathan Heek", "Kefan Xiao", "Shivani Agrawal", "Jeff Dean" ]	[]	[ "Generative Adversarial Networks and Image Synthesis", "Advanced Neural Network Applications", "Topic Modeling" ]
https://openalex.org/W4324297016	FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU	The high computational and memory requirements of large language model (LLM) inference make it feasible only with multiple high-end accelerators. Motivated by the emerging demand for latency-insensitive tasks with batched processing, this paper initiates the study of high-throughput LLM inference using limited resource...	2,023	arXiv (Cornell University)	[ "Ying Sheng", "Lianmin Zheng", "Binhang Yuan", "Zhuohan Li", "Max Ryabinin", "Daniel Y. Fu", "Zhiqiang Xie", "Beidi Chen", "Clark Barrett", "Joseph E. Gonzalez", "Percy Liang", "Christopher Ré", "Ion Stoica", "Ce Zhang" ]	[]	[ "Topic Modeling", "Ferroelectric and Negative Capacitance Devices", "Machine Learning in Materials Science" ]
https://openalex.org/W4310561894	Fast Inference from Transformers via Speculative Decoding	Inference from large autoregressive models like Transformers is slow - decoding K tokens takes K serial runs of the model. In this work we introduce speculative decoding - an algorithm to sample from autoregressive models faster without any changes to the outputs, by computing several tokens in parallel. At the heart o...	2,022	arXiv (Cornell University)	[ "Yaniv Leviathan", "Matan Kalman", "Yossi Matias" ]	[]	[ "Parallel Computing and Optimization Techniques", "Topic Modeling", "Scientific Computing and Data Management" ]
https://openalex.org/W4391045969	DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving	DistServe improves the performance of large language models (LLMs) serving by disaggregating the prefill and decoding computation. Existing LLM serving systems colocate the two phases and batch the computation of prefill and decoding across all users and requests. We find that this strategy not only leads to strong pre...	2,024	arXiv (Cornell University)	[ "Yinmin Zhong", "Shengyu Liu", "Junda Chen", "Jianbo Hu", "Yibo Zhu", "Xuanzhe Liu", "Xin Jin", "Hao Zhang" ]	[]	[ "Topic Modeling", "Natural Language Processing Techniques", "Advanced Neural Network Applications" ]
https://openalex.org/W3081168214	DeepSpeed	Explore new techniques in Microsoft's open source library called DeepSpeed, which advances large model training by improving scale, speed, cost, and usability, unlocking the ability to train 100-billion-parameter models. DeepSpeed is compatible with PyTorch. One piece of our library, called ZeRO, is a new parallelized ...	2,020	null	[ "Jeff Rasley", "Samyam Rajbhandari", "Olatunji Ruwase", "Yuxiong He" ]	[ "Bellevue Hospital Center", "Microsoft (United States)" ]	[ "Topic Modeling", "Distributed and Parallel Computing Systems", "Parallel Computing and Optimization Techniques" ]
https://openalex.org/W2979826702	Transformers: State-of-the-Art Natural Language Processing	Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining. Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to effectively utilize this capacity for a wide variety of tasks. Transformers is a...	2,020	null	[ "Thomas Wolf", "Lysandre Debut", "Victor Sanh", "Julien Chaumond", "Clément Delangue", "Anthony Moi", "Pierric Cistac", "Tim Rault", "Rémi Louf", "Morgan Funtowicz", "Joe Davison", "Sam Shleifer", "Patrick von Platen", "Clara Ma", "Yacine Jernite", "Julien Plu", "Canwen Xu", "Teven...	[ "Hugging Face" ]	[ "Topic Modeling", "Natural Language Processing Techniques" ]
https://openalex.org/W4327550249	Evolutionary-scale prediction of atomic-level protein structure with a language model	Recent advances in machine learning have leveraged evolutionary information in multiple sequence alignments to predict protein structure. We demonstrate direct inference of full atomic-level protein structure from primary sequence using a large language model. As language models of protein sequences are scaled up to 15...	2,023	Science	[ "Zeming Lin", "Halil Akin", "Roshan Rao", "Brian Hie", "Zhongkai Zhu", "Wenting Lu", "Nikita Smetanin", "Robert Verkuil", "Ori Kabeli", "Yaniv Shmueli", "Allan dos Santos Costa", "Maryam Fazel-Zarandi", "Tom Sercu", "Salvatore Candido", "Alexander Rives" ]	[ "Massachusetts Institute of Technology", "New York University", "Palo Alto University", "Stanford University", "The Metropolitan Opera (United States)" ]	[ "Genomics and Phylogenetic Studies", "Machine Learning in Bioinformatics", "RNA and protein synthesis mechanisms" ]
https://openalex.org/W4225672218	Restormer: Efficient Transformer for High-Resolution Image Restoration	Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration and related tasks. Recently, another class of neural architectures, Transformers, have shown significant performance gains on natural lang...	2,022	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	[ "Syed Waqas Zamir", "Aditya Arora", "Salman Khan", "Munawar Hayat", "Fahad Shahbaz Khan", "Ming–Hsuan Yang" ]	[ "Australian Regenerative Medicine Institute", "Google (United States)", "Inception Institute of Artificial Intelligence", "Linköping University", "Mohamed bin Zayed University of Artificial Intelligence", "Monash University", "University of California, Merced", "Yonsei University" ]	[ "Advanced Image Processing Techniques", "Image and Signal Denoising Methods", "Image Processing Techniques and Applications" ]
https://openalex.org/W4384561707	Large language models in medicine	null	2,023	Nature Medicine	[ "Arun James Thirunavukarasu", "Darren Shu Jeng Ting", "Kabilan Elangovan", "Laura Gutiérrez", "Ting Fang Tan", "Daniel Shu Wei Ting" ]	[ "Birmingham and Midland Eye Centre", "Duke-NUS Medical School", "National University of Singapore", "Singapore Eye Research Institute", "Singapore National Eye Center", "Smith-Kettlewell Eye Research Institute", "University of Birmingham", "University of Cambridge", "University of Nottingham" ]	[ "Artificial Intelligence in Healthcare and Education", "Machine Learning in Healthcare", "Topic Modeling" ]
https://openalex.org/W3177500196	ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning	Computational biology and bioinformatics provide vast data gold-mines from protein sequences, ideal for Language Models (LMs) taken from Natural Language Processing (NLP). These LMs reach for new prediction frontiers at low inference costs. Here, we trained two auto-regressive models (Transformer-XL, XLNet) and four au...	2,021	IEEE Transactions on Pattern Analysis and Machine Intelligence	[ "Ahmed Elnaggar", "Michael Heinzinger", "Christian Dallago", "Ghalia Rehawi", "Yu Wang", "Llion Jones", "Tom Gibbs", "T. Fehér", "Christoph Angerer", "Martin Steinegger", "Debsindhu Bhowmik", "Burkhard Rost" ]	[ "Google (United States)", "Nvidia (United States)", "Oak Ridge National Laboratory", "Seoul National University", "Technical University of Munich" ]	[ "Topic Modeling", "Natural Language Processing Techniques", "Innovative Teaching and Learning Methods" ]
https://openalex.org/W4312349930	Swin Transformer V2: Scaling Up Capacity and Resolution	We present techniques for scaling Swin Transformer [35] up to 3 billion parameters and making it capable of training with images of up to 1,536x1,536 resolution. By scaling up capacity and resolution, Swin Transformer sets new records on four representative vision benchmarks: 84.0% top-1 accuracy on ImageNet- V2 image ...	2,022	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	[ "Ze Liu", "Han Hu", "Yutong Lin", "Zhuliang Yao", "Zhenda Xie", "Yixuan Wei", "Ning Jia", "Yue Cao", "Zheng Zhang", "Li Dong", "Furu Wei", "Baining Guo" ]	[ "Huazhong University of Science and Technology", "Microsoft Research Asia (China)", "Tsinghua University", "University of Science and Technology of China", "Xi'an Jiaotong University" ]	[ "Advanced Neural Network Applications", "Domain Adaptation and Few-Shot Learning", "Multimodal Machine Learning Applications" ]
https://openalex.org/W3035160371	Self-Training With Noisy Student Improves ImageNet Classification	We present a simple self-training method that achieves 88.4% top-1 accuracy on ImageNet, which is 2.0% better than the state-of-the-art model that requires 3.5B weakly labeled Instagram images. On robustness test sets, it improves ImageNet-A top-1 accuracy from 61.0% to 83.7%, reduces ImageNet-C mean corruption error f...	2,020	null	[ "Qizhe Xie", "Minh-Thang Luong", "Eduard Hovy", "Quoc V. Le" ]	[ "Brain (Germany)", "Carnegie Mellon University", "Google (United States)" ]	[ "Advanced Neural Network Applications", "Machine Learning and Data Classification", "Domain Adaptation and Few-Shot Learning" ]
https://openalex.org/W2990152177	TSM: Temporal Shift Module for Efficient Video Understanding	The explosive growth in video streaming gives rise to challenges on performing video understanding at high accuracy and low computation cost. Conventional 2D CNNs are computationally cheap but cannot capture temporal relationships; 3D CNN based methods can achieve good performance but are computationally intensive, mak...	2,019	null	[ "Ji Lin", "Chuang Gan", "Song Han" ]	[ "IBM (United States)", "Massachusetts Institute of Technology", "Moscow Institute of Thermal Technology" ]	[ "Human Pose and Action Recognition", "Video Surveillance and Tracking Methods", "Advanced Neural Network Applications" ]
https://openalex.org/W2962883549	Deep Learning in Mobile and Wireless Networking: A Survey	The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure. Upcoming 5G systems are evolving to support exploding mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management...	2,019	IEEE Communications Surveys & Tutorials	[ "Chaoyun Zhang", "Paul Patras", "Hamed Haddadi" ]	[ "Dyson (United Kingdom)", "Imperial College London", "University of Edinburgh" ]	[ "Advanced MIMO Systems Optimization", "IoT and Edge/Fog Computing", "Caching and Content Delivery" ]
https://openalex.org/W2966284335	AutoML: A survey of the state-of-the-art	Deep learning (DL) techniques have penetrated all aspects of our lives and brought us great convenience. However, building a high-quality DL system for a specific task highly relies on human expertise, hindering the applications of DL to more areas. Automated machine learning (AutoML) becomes a promising solution to bu...	2,020	Knowledge-Based Systems	[ "Xin He", "Kaiyong Zhao", "Xiaowen Chu" ]	[ "Hong Kong Baptist University" ]	[ "Machine Learning and Data Classification", "Anomaly Detection Techniques and Applications", "Machine Learning and Algorithms" ]
https://openalex.org/W3011574394	Pre-trained models for natural language processing: A survey	Recently, the emergence of pre-trained models (PTMs) has brought natural language processing (NLP) to a new era. In this survey, we provide a comprehensive review of PTMs for NLP. We first briefly introduce language representation learning and its research progress. Then we systematically categorize existing PTMs based...	2,020	Science China Technological Sciences	[ "Xipeng Qiu", "Tianxiang Sun", "Yige Xu", "Yunfan Shao", "Ning Dai", "Xuanjing Huang" ]	[ "Fudan University" ]	[ "Topic Modeling", "Natural Language Processing Techniques", "Multimodal Machine Learning Applications" ]
https://openalex.org/W4294559022	Explainable AI (XAI): Core Ideas, Techniques, and Solutions	As our dependence on intelligent machines continues to grow, so does the demand for more transparent and interpretable models. In addition, the ability to explain the model generally is now the gold standard for building trust and deployment of artificial intelligence systems in critical domains. Explainable artificial...	2,022	ACM Computing Surveys	[ "Rudresh Dwivedi", "Devam Dave", "Het Naik", "Smiti Singhal", "Omer Rana", "Pankesh Patel", "Bin Qian", "Zhenyu Wen", "Tejal Shah", "Graham Morgan", "Rajiv Ranjan" ]	[ "Cardiff University", "Netaji Subhas University of Technology", "Newcastle University", "Pandit Deendayal Energy University", "University of South Carolina" ]	[ "Explainable Artificial Intelligence (XAI)", "Adversarial Robustness in Machine Learning", "Artificial Intelligence in Healthcare and Education" ]
https://openalex.org/W4362603432	Transformers in medical imaging: A survey	Following unprecedented success on the natural language tasks, Transformers have been successfully applied to several computer vision problems, achieving state-of-the-art results and prompting researchers to reconsider the supremacy of convolutional neural networks (CNNs) as de facto operators. Capitalizing on these ad...	2,023	Medical Image Analysis	[ "Fahad Shamshad", "Salman Khan", "Syed Waqas Zamir", "Muhammad Haris Khan", "Munawar Hayat", "Fahad Shahbaz Khan", "Huazhu Fu" ]	[ "Agency for Science, Technology and Research", "Australian National University", "Inception Institute of Artificial Intelligence", "Institute of High Performance Computing", "Linköping University", "Mohamed bin Zayed University of Artificial Intelligence", "Monash University" ]	[ "AI in cancer detection", "Advanced X-ray and CT Imaging", "Advanced Neural Network Applications" ]
https://openalex.org/W4391876619	Lost in the Middle: How Language Models Use Long Contexts	Abstract While recent language models have the ability to take long contexts as input, relatively little is known about how well they use longer context. We analyze the performance of language models on two tasks that require identifying relevant information in their input contexts: multi-document question answering an...	2,024	Transactions of the Association for Computational Linguistics	[ "Nelson F. Liu", "Kevin Lin", "John Hewitt", "Ashwin Paranjape", "Michele Bevilacqua", "Fabio Petroni", "Percy Liang" ]	[ "Stanford University", "University of California, Berkeley" ]	[ "Topic Modeling", "Natural Language Processing Techniques", "Multimodal Machine Learning Applications" ]
https://openalex.org/W4378838672	Transfer learning enables predictions in network biology	Mapping gene networks requires large amounts of transcriptomic data to learn the connections between genes, which impedes discoveries in settings with limited data, including rare diseases and diseases affecting clinically inaccessible tissues. Recently, transfer learning has revolutionized fields such as natural langu...	2,023	Nature	[ "Christina V. Theodoris", "Ling Xiao", "Anant Chopra", "Mark Chaffin", "Zeina R. Al Sayed", "Matthew C. Hill", "Helene Mantineo", "Elizabeth M. Brydon", "Zexian Zeng", "X. Shirley Liu", "Patrick T. Ellinor" ]	[ "Bayer (United States)", "Boston Children's Hospital", "Broad Institute", "Dana-Farber Cancer Institute", "Gladstone Institutes", "Harvard University", "Massachusetts General Hospital" ]	[ "Single-cell and spatial transcriptomics", "Bioinformatics and Genomic Networks", "Gene expression and cancer classification" ]
https://openalex.org/W3137147200	A Survey of Quantization Methods for Efficient Neural Network Inference	This chapter provides approaches to the problem of quantizing the numerical values in deep Neural Network computations, covering the advantages/disadvantages of current methods. Over the past decade, people have observed significant improvements in the accuracy of Neural Networks (NNs) for a wide range of problems, oft...	2,022	null	[ "Amir Gholami", "Sehoon Kim", "Zhen Dong", "Zhewei Yao", "Michael W. Mahoney", "Kurt Keutzer" ]	[ "University of California, Berkeley" ]	[ "Advanced Neural Network Applications", "Neural Networks and Applications", "Medical Image Segmentation Techniques" ]
https://openalex.org/W3085139254	Efficient Transformers: A Survey	Transformer model architectures have garnered immense interest lately due to their effectiveness across a range of domains like language, vision, and reinforcement learning. In the field of natural language processing for example, Transformers have become an indispensable staple in the modern deep learning stack. Recen...	2,022	ACM Computing Surveys	[ "Yi Tay", "Mostafa Dehghani", "Dara Bahri", "Donald Metzler" ]	[ "Google (United States)" ]	[ "Topic Modeling", "Domain Adaptation and Few-Shot Learning", "Multimodal Machine Learning Applications" ]
https://openalex.org/W3198659451	Pre-trained models: Past, present and future	Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved great success and become a milestone in the field of artificial intelligence (AI). Owing to sophisticated pre-training objectives and huge model parameters, large-scale PTMs can effectively capture knowledge from massive labeled and unlab...	2,021	AI Open	[ "Xu Han", "Zhengyan Zhang", "Ning Ding", "Yuxian Gu", "Xiao Liu", "Yuqi Huo", "Jiezhong Qiu", "Yuan Yao", "Ao Zhang", "Liang Zhang", "Wentao Han", "Minlie Huang", "Qin Jin", "Yanyan Lan", "Yang Liu", "Zhiyuan Liu", "Zhiwu Lu", "Xipeng Qiu", "Ruihua Song", "Jie Tang", "Ji-Rong...	[ "Fudan University", "Renmin University of China", "Tsinghua University" ]	[ "Topic Modeling", "Advanced Neural Network Applications", "Domain Adaptation and Few-Shot Learning" ]
https://openalex.org/W4386076222	InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions	Compared to the great progress of large-scale vision transformers (ViTs) in recent years, large-scale models based on convolutional neural networks (CNNs) are still in an early state. This work presents a new large-scale CNN-based foundation model, termed InternImage, which can obtain the gain from increasing parameter...	2,023	null	[ "Wenhai Wang", "Jifeng Dai", "Zhe Chen", "Zhenhang Huang", "Zhiqi Li", "Xizhou Zhu", "Xiaowei Hu", "Tong Lü", "Lewei Lu", "Hongsheng Li", "Xiaogang Wang", "Yu Qiao" ]	[ "Chinese University of Hong Kong", "Group Sense (China)", "Nanjing University", "ShangHai JiAi Genetics & IVF Institute", "Shanghai Artificial Intelligence Laboratory", "The Sense Innovation and Research Center", "Tsinghua University" ]	[ "Advanced Neural Network Applications", "Advanced Memory and Neural Computing", "Visual Attention and Saliency Detection" ]
https://openalex.org/W4285294723	GLM: General Language Model Pretraining with Autoregressive Blank Infilling	There have been various types of pretraining architectures including autoencoding models (e.g., BERT), autoregressive models (e.g., GPT), and encoder-decoder models (e.g., T5). However, none of the pretraining frameworks performs the best for all tasks of three main categories including natural language understanding (...	2,022	Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)	[ "Zhengxiao Du", "Yujie Qian", "Xiao Liu", "Ming Ding", "Jiezhong Qiu", "Zhilin Yang", "Jie Tang" ]	[ "Beijing Academy of Artificial Intelligence", "MIT Computer Science and Artificial Intelligence Laboratory", "ShangHai JiAi Genetics & IVF Institute", "Tsinghua University" ]	[ "Natural Language Processing Techniques", "Topic Modeling" ]
https://openalex.org/W4376226279	Multimodal Learning With Transformers: A Survey	Transformer is a promising neural network learner, and has achieved great success in various machine learning tasks. Thanks to the recent prevalence of multimodal applications and Big Data, Transformer-based multimodal learning has become a hot topic in AI research. This paper presents a comprehensive survey of Transfo...	2,023	IEEE Transactions on Pattern Analysis and Machine Intelligence	[ "Peng Xu", "Xiatian Zhu", "David A. Clifton" ]	[ "Tsinghua University", "University of Oxford", "University of Surrey" ]	[ "Multimodal Machine Learning Applications", "Domain Adaptation and Few-Shot Learning", "Image Retrieval and Classification Techniques" ]
https://openalex.org/W3184606595	Pruning and quantization for deep neural network acceleration: A survey	Abstract Deep neural networks have been applied in many applications exhibiting extraordinary abilities in the field of computer vision. However, complex network architectures challenge efficient real-time deployment and require significant computation resources and energy costs. These challenges can be overcome throug...	2,021	Neurocomputing	[ "Tailin Liang", "John Glossner", "Lei Wang", "Shaobo Shi", "Xiaotong Zhang" ]	[ "University of Science and Technology Beijing" ]	[ "Advanced Neural Network Applications", "Domain Adaptation and Few-Shot Learning", "Sparse and Compressive Sensing Techniques" ]
https://openalex.org/W4414281281	DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning	Abstract General reasoning represents a long-standing and formidable challenge in artificial intelligence (AI). Recent breakthroughs, exemplified by large language models (LLMs) 1,2 and chain-of-thought (CoT) prompting 3 , have achieved considerable success on foundational reasoning tasks. However, this success is heav...	2,025	Nature	[ "Daya Guo", "Dejian Yang", "Haowei Zhang", "Junxiao Song", "Peiyi Wang", "Qihao Zhu", "Runxin Xu", "Ruoyu Zhang", "Shirong Ma", "Xiao Bi", "Xiaokang Zhang", "Xingkai Yu", "Yu Wu", "Zhenhua Wu", "Zhibin Gou", "Zhihong Shao", "Zhuoshu Li", "Ziyi Gao", "Aixin Liu", "Bing Xue", "...	[ "Individual Differences", "Peking University", "Shanghai Jinyuan Senior High School", "University of Science and Technology of China" ]	[ "Reinforcement Learning in Robotics", "Data Stream Mining Techniques", "Explainable Artificial Intelligence (XAI)" ]
https://openalex.org/W4312220150	A large language model for electronic health records	There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the key technology for medical AI systems utilizing clinical narratives. However, there are few clinica...	2,022	npj Digital Medicine	[ "Xi Yang", "Aokun Chen", "Nima PourNejatian", "Hoo Chang Shin", "Kaleb E Smith", "Christopher Parisien", "Colin B. Compas", "Cheryl Martin", "Anthony Costa", "Mona G. Flores", "Ying Zhang", "Tanja Magoč", "Christopher A. Harle", "Gloria Lipori", "Duane A. Mitchell", "William R. Hogan",...	[ "Florida College", "Nvidia (United States)", "UF Health Cancer Center", "University of Florida", "University of Florida Health" ]	[ "Topic Modeling", "Machine Learning in Healthcare", "Natural Language Processing Techniques" ]
https://openalex.org/W3172942063	Scaling Vision Transformers	Attention-based neural networks such as the Vision Transformer (ViT) have recently attained state-of-the-art results on many computer vision benchmarks. Scale is a primary ingredient in attaining excellent results, therefore, understanding a model's scaling properties is a key to designing future generations effectivel...	2,022	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	[ "Xiaohua Zhai", "Alexander Kolesnikov", "Neil Houlsby", "Lucas Beyer" ]	[ "Google (Switzerland)" ]	[ "Advanced Neural Network Applications", "Domain Adaptation and Few-Shot Learning", "Multimodal Machine Learning Applications" ]
https://openalex.org/W4386076539	EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention	Vision transformers have shown great success due to their high model capabilities. However, their remarkable performance is accompanied by heavy computation costs, which makes them unsuitable for real-time applications. In this paper, we propose a family of high-speed vision transformers named Efficient ViT. We find th...	2,023	null	[ "Xinyu Liu", "Houwen Peng", "Ningxin Zheng", "Yuqing Yang", "Han Hu", "Yixuan Yuan" ]	[ "Chinese University of Hong Kong", "Microsoft Research (United Kingdom)" ]	[ "Advanced Memory and Neural Computing", "Advanced Neural Network Applications", "CCD and CMOS Imaging Sensors" ]
https://openalex.org/W2969388332	PipeDream	DNN training is extremely time-consuming, necessitating efficient multi-accelerator parallelization. Current approaches to parallelizing training primarily use intra-batch parallelization, where a single iteration of training is split over the available workers, but suffer from diminishing returns at higher worker coun...	2,019	null	[ "Deepak Narayanan", "Aaron Harlap", "Amar Phanishayee", "Vivek Seshadri", "Nikhil R. Devanur", "Gregory R. Ganger", "Phillip B. Gibbons", "Matei Zaharia" ]	[ "Carnegie Mellon University", "Microsoft Research (India)", "Microsoft Research (United Kingdom)", "Stanford University" ]	[ "Stochastic Gradient Optimization Techniques", "Ferroelectric and Negative Capacitance Devices", "Advanced Neural Network Applications" ]
https://openalex.org/W3204647170	Dynamic Neural Networks: A Survey	Dynamic neural network is an emerging research topic in deep learning. Compared to static models which have fixed computational graphs and parameters at the inference stage, dynamic networks can adapt their structures or parameters to different inputs, leading to notable advantages in terms of accuracy, computational e...	2,021	IEEE Transactions on Pattern Analysis and Machine Intelligence	[ "Yizeng Han", "Gao Huang", "Shiji Song", "Le Yang", "Honghui Wang", "Yulin Wang" ]	[ "Beijing Academy of Artificial Intelligence", "Tsinghua University" ]	[ "Advanced Neural Network Applications", "Human Pose and Action Recognition", "Video Surveillance and Tracking Methods" ]
https://openalex.org/W3195997474	Deep learning in computer vision: A critical review of emerging techniques and application scenarios	Deep learning has been overwhelmingly successful in computer vision (CV), natural language processing, and video/speech recognition. In this paper, our focus is on CV. We provide a critical review of recent achievements in terms of techniques and applications. We identify eight emerging techniques, investigate their or...	2,021	Machine Learning with Applications	[ "Junyi Chai", "Hao Zeng", "Anming Li", "Eric W.T. Ngai" ]	[ "Beijing Normal University", "Beijing Normal-Hong Kong Baptist University", "Hong Kong Polytechnic University" ]	[ "Advanced Neural Network Applications", "Advanced Image and Video Retrieval Techniques", "Multimodal Machine Learning Applications" ]
https://openalex.org/W4392193048	Adapted large language models can outperform medical experts in clinical text summarization	Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time. Although large language models (LLMs) have shown promise in natural language processing (NLP) tasks, their effectiveness on a diverse range of clinical summariza...	2,024	Nature Medicine	[ "Dave Van Veen", "Cara Van Uden", "Louis Blankemeier", "Jean-Benoit Delbrouck", "Asad Aali", "Christian Bluethgen", "Anuj Pareek", "Malgorzata Polacin", "Eduardo Pontes Reis", "Anna Seehofnerová", "Nidhi Rohatgi", "Poonam Hosamani", "William Collins", "Neera Ahuja", "Curtis P. Langlotz",...	[ "Artificial Intelligence in Medicine (Canada)", "Association for the Advancement of Artificial Intelligence", "Cardiovascular Institute of the South", "Copenhagen University Hospital", "Hospital Israelita Albert Einstein", "Hospital São Paulo", "Stanford Medicine", "Stanford University", "The Univer...	[ "Topic Modeling", "Biomedical Text Mining and Ontologies", "Machine Learning in Healthcare" ]
https://openalex.org/W2988396473	Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution	In natural images, information is conveyed at different frequencies where higher frequencies are usually encoded with fine details and lower frequencies are usually encoded with global structures. Similarly, the output feature maps of a convolution layer can also be seen as a mixture of information at different frequen...	2,019	null	[ "Yunpeng Chen", "Haoqi Fan", "Bing Xu", "Zhicheng Yan", "Yannis Kalantidis", "Marcus Rohrbach", "Yan Shuicheng", "Jiashi Feng" ]	[ "Meta (Israel)", "National University of Singapore" ]	[ "Advanced Neural Network Applications", "Human Pose and Action Recognition", "Advanced Image and Video Retrieval Techniques" ]
https://openalex.org/W3201174429	TruthfulQA: Measuring How Models Mimic Human Falsehoods	We propose a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. We crafted questions that some humans would answer falsely due to a false belief or misconception. To per...	2,022	Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)	[ "Stephanie Lin", "Jacob Hilton", "Owain Evans" ]	[ "University of Oxford" ]	[ "Ethics and Social Impacts of AI", "Explainable Artificial Intelligence (XAI)", "Topic Modeling" ]
https://openalex.org/W4394998532	PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation	This paper introduces two extensions to the popular PyTorch machine learning framework, TorchDynamo and TorchInductor, which implement the torch.compile feature released in PyTorch 2. TorchDynamo is a Python-level just-in-time (JIT) compiler that enables graph compilation in PyTorch programs without sacrificing the fle...	2,024	null	[ "Jason Ansel", "E Yang", "Horace He", "Natalia Gimelshein", "Animesh Jain", "Michael Voznesensky", "Bin Bao", "Peter Bell", "David Berard", "Evgeni Burovski", "Geeta Chauhan", "Anjali Chourdia", "Will Constable", "Alban Desmaison", "Zachary DeVito", "E. F. D. Ellison", "Will Feng", ...	[ "Alpha Omega Alpha Medical Honor Society", "Menlo School", "OpenAI (United States)", "Quansight (United States)", "University of Michigan" ]	[ "Parallel Computing and Optimization Techniques", "Software Testing and Debugging Techniques", "Software Engineering Research" ]
https://openalex.org/W4411403346	A Comprehensive Overview of Large Language Models	Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. This success of LLMs has led to a large influx of research contributions in this direction. These works encompass diverse topics such as architectural innovations, better training strategies,...	2,025	ACM Transactions on Intelligent Systems and Technology	[ "Humza Naveed", "Asad Ullah Khan", "Shi Qiu", "Muhammad Saqib", "Saeed Anwar", "Muhammad Usman", "Naveed Akhtar", "Nick Barnes", "Ajmal Mian" ]	[ "Australian National University", "Chinese University of Hong Kong", "Commonwealth Scientific and Industrial Research Organisation", "Department of the Premier and Cabinet", "Health Sciences and Nutrition", "King Fahd University of Petroleum and Minerals", "Ontario Tech University", "The University of...	[ "Topic Modeling", "Natural Language Processing Techniques", "Multimodal Machine Learning Applications" ]
https://openalex.org/W3112134271	The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support	Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tremendous potential benefits of SA are, however, yet to be fully realized, both for advancing mechanistic and data-driven modeling of human and natural systems, and in support of decision making. In this perspective paper,...	2,020	Environmental Modelling & Software	[ "Saman Razavi", "Anthony J. Jakeman", "Andrea Saltelli", "Clémentine Prieur", "Bertrand Iooss", "Emanuele Borgonovo", "Elmar Plischke", "Samuele Lo Piano", "Takuya Iwanaga", "William E. Becker", "Stefano Tarantola", "Joseph H. A. Guillaume", "John Jakeman", "Hoshin V. Gupta", "Nicola Mel...	[ "Australian National University", "Bocconi University", "Centre Inria de l'Université Grenoble Alpes", "Centre National de la Recherche Scientifique", "Clausthal University of Technology", "Global Institute for Water Security", "Heriot-Watt University", "Hohai University", "Imperial College London",...	[ "Probabilistic and Robust Engineering Design", "Advanced Multi-Objective Optimization Algorithms" ]
https://openalex.org/W2972087877	Demystifying Parallel and Distributed Deep Learning	Deep Neural Networks (DNNs) are becoming an important tool in modern computing applications. Accelerating their training is a major challenge and techniques range from distributed algorithms to low-level circuit design. In this survey, we describe the problem from a theoretical perspective, followed by approaches for i...	2,019	ACM Computing Surveys	[ "Tal Ben‐Nun", "Torsten Hoefler" ]	[ "ETH Zurich" ]	[ "Stochastic Gradient Optimization Techniques", "Advanced Neural Network Applications", "Ferroelectric and Negative Capacitance Devices" ]
https://openalex.org/W2940862705	Timeloop: A Systematic Approach to DNN Accelerator Evaluation	This paper presents Timeloop, an infrastructure for evaluating and exploring the architecture design space of deep neural network (DNN) accelerators. Timeloop uses a concise and unified representation of the key architecture and implementation attributes of DNN accelerators to describe a broad space of hardware topolog...	2,019	null	[ "Angshuman Parashar", "Priyanka Raina", "Yakun Sophia Shao", "Yu‐Hsin Chen", "Victor A. Ying", "Anurag Mukkara", "Rangharajan Venkatesan", "Brucek Khailany", "Stephen W. Keckler", "Joel Emer" ]	[ "Massachusetts Institute of Technology" ]	[ "Advanced Neural Network Applications", "Parallel Computing and Optimization Techniques", "Advanced Memory and Neural Computing" ]
https://openalex.org/W3034445277	Generative Pretraining From Pixels	null	2,020	International Conference on Machine Learning	[ "Mark Chen", "Alec Radford", "Rewon Child", "Jeffrey Wu", "Heewoo Jun", "David Luan", "Ilya Sutskever" ]	[ "OpenAI (United States)" ]	[ "Generative Adversarial Networks and Image Synthesis", "Advanced Image and Video Retrieval Techniques", "Multimodal Machine Learning Applications" ]
https://openalex.org/W4386065512	Reproducible Scaling Laws for Contrastive Language-Image Learning	Scaling up neural networks has led to remarkable performance across a wide range of tasks. Moreover, performance often follows reliable scaling laws as a function of training set size, model size, and compute, which offers valuable guidance as large-scale experiments are becoming increasingly expensive. However, previo...	2,023	null	[ "Mehdi Cherti", "Romain Beaumont", "Ross Wightman", "Mitchell Wortsman", "Gabriel Ilharco", "Cade Gordon", "Christoph Schuhmann", "Ludwig Schmidt", "Jenia Jitsev" ]	[ "Berkeley College", "University of California, Berkeley", "University of Washington" ]	[ "Multimodal Machine Learning Applications", "Domain Adaptation and Few-Shot Learning", "Natural Language Processing Techniques" ]
https://openalex.org/W3213029956	XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale	This paper presents XLS-R, a large-scale model for cross-lingual speech representation learning based on wav2vec 2.0.We train models with up to 2B parameters on nearly half a million hours of publicly available speech audio in 128 languages, an order of magnitude more public data than the largest known prior work.Our e...	2,022	Interspeech 2022	[ "Arun Babu", "Changhan Wang", "Andros Tjandra", "Kushal Lakhotia", "Qiantong Xu", "Naman Goyal", "Kritika Singh", "Patrick von Platen", "Yatharth Saraf", "Juan Pino", "Alexei Baevski", "Alexis Conneau", "Michael Auli" ]	[]	[ "Speech Recognition and Synthesis", "Natural Language Processing Techniques", "Music and Audio Processing" ]
https://openalex.org/W4402667891	Point Transformer V3: Simpler, Faster, Stronger	This paper is not motivated to seek innovation within the attention mechanism. Instead, it focuses on overcoming the existing trade-offs between accuracy and efficiency within the context of point cloud processing, leveraging the power of scale. Drawing inspiration from recent advances in 3D large-scale representation ...	2,024	null	[ "Xiaoyang Wu", "Li Jiang", "Peng‐Shuai Wang", "Zhijian Liu", "Xihui Liu", "Yu Qiao", "Wanli Ouyang", "Tong He", "Hengshuang Zhao" ]	[ "Moscow Institute of Thermal Technology", "University of Hong Kong" ]	[ "Optical measurement and interference techniques", "Advanced Measurement and Metrology Techniques", "Image and Object Detection Techniques" ]
https://openalex.org/W4402713111	Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks	The exponential growth of large language models (LLMs) has opened up numerous possibilities for multi-modal AGI systems. However, the progress in vision and vision-language foundation models, which are also critical elements of multi-modal AGI, has not kept pace with LLMs. In this work, we design a large-scale vision-l...	2,024	null	[ "Zhe Chen", "Jiannan Wu", "Wenhai Wang", "Weijie Su", "Guo Chen", "Sen Xing", "Muyan Zhong", "Qinglong Zhang", "Xizhou Zhu", "Lewei Lu", "Bin Li", "Ping Luo", "Tong Lü", "Yu Qiao", "Yifeng Dai" ]	[ "Chinese University of Hong Kong", "Nanjing University", "Shanghai Artificial Intelligence Laboratory", "Tsinghua University", "University of Hong Kong", "University of Science and Technology of China" ]	[ "Multimodal Machine Learning Applications", "Human Pose and Action Recognition", "Advanced Image and Video Retrieval Techniques" ]
https://openalex.org/W3122286897	MLIR: Scaling Compiler Infrastructure for Domain Specific Computation	This work presents MLIR, a novel approach to building reusable and extensible compiler infrastructure. MLIR addresses software fragmentation, compilation for heterogeneous hardware, significantly reducing the cost of building domain specific compilers, and connecting existing compilers together. MLIR facilitates the de...	2,021	null	[ "Chris Lattner", "Mehdi Amini", "Uday Bondhugula", "Albert Cohen", "Andy Davis", "Jacques A. Pienaar", "River Riddle", "Tatiana Shpeisman", "Nicolas Vasilache", "Oleksandr Zinenko" ]	[ "Google (United States)", "Indian Institute of Science Bangalore" ]	[ "Parallel Computing and Optimization Techniques", "Distributed and Parallel Computing Systems", "Logic, programming, and type systems" ]
https://openalex.org/W4312910992	FLAVA: A Foundational Language And Vision Alignment Model	State-of-the-art vision and vision-and-language models rely on large-scale visio-linguistic pretraining for obtaining good performance on a variety of downstream tasks. Generally, such models are often either cross-modal (contrastive) or multi-modal (with earlier fusion) but not both; and they often only target specifi...	2,022	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	[ "Amanpreet Singh", "Ronghang Hu", "Vedanuj Goswami", "Guillaume Couairon", "Wojciech Galuba", "Marcus Rohrbach", "Douwe Kiela" ]	[ "Meta (Israel)" ]	[ "Multimodal Machine Learning Applications", "Advanced Image and Video Retrieval Techniques" ]
https://openalex.org/W3180562345	Meta Pseudo Labels	We present Meta Pseudo Labels, a semi-supervised learning method that achieves a new state-of-the-art top-1 accuracy of 90.2% on ImageNet, which is 1.6% better than the existing state-of-the-art [16]. Like Pseudo Labels, Meta Pseudo Labels has a teacher network to generate pseudo labels on unlabeled data to teach a stu...	2,021	null	[ "Hieu Pham", "Zihang Dai", "Qizhe Xie", "Quoc V. Le" ]	[ "Google (United States)" ]	[ "Advanced Neural Network Applications", "Domain Adaptation and Few-Shot Learning", "Image Enhancement Techniques" ]
https://openalex.org/W4386076522	EVA: Exploring the Limits of Masked Visual Representation Learning at Scale	We launch EVA, a vision-centric foundation model to Explore the limits of Visual representation at scAle using only publicly accessible data. EVA is a vanilla ViT pre-trained to reconstruct the masked out image-text aligned vision features conditioned on visible image patches. Via this pretext task, we can efficiently ...	2,023	null	[ "Yuxin Fang", "Wen Wang", "Binhui Xie", "Quan Sun", "Ledell Wu", "Xinggang Wang", "Tiejun Huang", "Xinlong Wang", "Yue Cao" ]	[ "Beijing Academy of Artificial Intelligence", "Beijing Institute of Technology", "Huazhong University of Science and Technology", "Zhejiang University" ]	[ "Multimodal Machine Learning Applications", "Domain Adaptation and Few-Shot Learning", "Advanced Neural Network Applications" ]
https://openalex.org/W3041971333	Communication-Efficient Edge AI: Algorithms and Systems	Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields, ranging from speech processing, image classification to drug discovery. This is driven by the explosive growth of data, advances in machine learning (especially deep learning), and the easy access to powerful computing resourc...	2,020	IEEE Communications Surveys & Tutorials	[ "Yuanming Shi", "Kai Yang", "Tao Jiang", "Jun Zhang", "Khaled B. Letaief" ]	[ "Hong Kong Polytechnic University", "Peng Cheng Laboratory", "Shanghai Institute of Microsystem and Information Technology", "ShanghaiTech University", "University of Chinese Academy of Sciences" ]	[ "Privacy-Preserving Technologies in Data", "Indoor and Outdoor Localization Technologies", "Wireless Communication Security Techniques" ]
https://openalex.org/W4386057769	VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking	Scale is the primary factor for building a powerful foundation model that could well generalize to a variety of downstream tasks. However, it is still challenging to train video foundation models with billions of parameters. This paper shows that video masked autoencoder (VideoMAE) is a scalable and general self-superv...	2,023	null	[ "Limin Wang", "Bingkun Huang", "Zhiyu Zhao", "Tong Zhan", "Yinan He", "Yi Wang", "Yali Wang", "Yu Qiao" ]	[ "Beijing Academy of Artificial Intelligence", "Nanjing University", "SAIC-GM (China)", "Shanghai Artificial Intelligence Laboratory", "Shenzhen Institutes of Advanced Technology" ]	[ "Human Pose and Action Recognition", "Generative Adversarial Networks and Image Synthesis", "Multimodal Machine Learning Applications" ]
https://openalex.org/W4379769651	Health system-scale language models are all-purpose prediction engines	Abstract Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by forecasting clinical and operational events. Existing structured data-based clinical predictive models have limited use in everyday practice owing to complexity in ...	2,023	Nature	[ "Lavender Yao Jiang", "Xujin Chris Liu", "Nima Pour Nejatian", "Mustafa Nasir-Moin", "Duo Wang", "Anas Z. Abidin", "Kevin Eaton", "Howard A. Riina", "Ilya Laufer", "Paawan Punjabi", "Madeline Miceli", "Nora C. Kim", "Cordelia Orillac", "Zane Schnurman", "Christopher Livia", "Hannah Wei...	[ "Canadian Institute for Advanced Research", "Courant Institute of Mathematical Sciences", "NYU Langone Health", "New York University", "Nvidia (United States)", "Predictive Science (United States)" ]	[ "Machine Learning in Healthcare", "Artificial Intelligence in Healthcare and Education", "Topic Modeling" ]
https://openalex.org/W3207559276	The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations	In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate...	2,021	AI & Society	[ "Josh Cowls", "Andreas Tsamados", "Mariarosaria Taddeo", "Luciano Floridi" ]	[ "Mathematical Institute of the Slovak Academy of Sciences", "The Alan Turing Institute", "Turing Institute", "University of Oxford" ]	[ "Air Quality Monitoring and Forecasting", "Energy, Environment, and Transportation Policies", "Climate Change Policy and Economics" ]
https://openalex.org/W3086105743	PyTorch distributed	This paper presents the design, implementation, and evaluation of the PyTorch distributed data parallel module. Py-Torch is a widely-adopted scientific computing package used in deep learning research and applications. Recent advances in deep learning argue for the value of large datasets and large models, which necess...	2,020	Proceedings of the VLDB Endowment	[ "Li Shen", "Yanli Zhao", "Rohan Varma", "Omkar Salpekar", "Pieter Noordhuis", "Teng Li", "Adam Paszke", "Jeff Smith", "Brian Vaughan", "Pritam Damania", "Soumith Chintala" ]	[ "Meta (Israel)", "University of Warsaw" ]	[ "Machine Learning and ELM", "Stochastic Gradient Optimization Techniques", "Advanced Neural Network Applications" ]
https://openalex.org/W4388024559	ProGen2: Exploring the boundaries of protein language models	Attention-based models trained on protein sequences have demonstrated incredible success at classification and generation tasks relevant for artificial-intelligence-driven protein design. However, we lack a sufficient understanding of how very large-scale models and data play a role in effective protein model developme...	2,023	Cell Systems	[ "Erik Nijkamp", "Jeffrey A. Ruffolo", "Eli N. Weinstein", "Nikhil Naik", "Ali Madani" ]	[ "Columbia University", "Johns Hopkins University", "Salesforce (United States)" ]	[ "Machine Learning in Bioinformatics", "RNA and protein synthesis mechanisms", "Genomics and Phylogenetic Studies" ]
https://openalex.org/W4394828156	ChatGPT for Robotics: Design Principles and Model Abilities	This paper presents an experimental study regarding the use of OpenAI’s ChatGPT [1] for robotics applications. We outline a strategy that combines design principles for prompt engineering and the creation of a high-level function library which allows ChatGPT to adapt to different robotics tasks, simulators, and form fa...	2,024	IEEE Access	[ "Sai Vemprala", "Rogerio Bonatti", "Arthur Bucker", "Ashish Kapoor" ]	[ "Carnegie Mellon University", "Microsoft (United States)" ]	[ "Topic Modeling", "Software Engineering Research", "Multimodal Machine Learning Applications" ]
https://openalex.org/W4388923662	A comprehensive survey on applications of transformers for deep learning tasks	Transformers are Deep Neural Networks (DNN) that utilize a self-attention mechanism to capture contextual relationships within sequential data. Unlike traditional neural networks and variants of Recurrent Neural Networks (RNNs), such as Long Short-Term Memory (LSTM), Transformer models excel at managing long dependenci...	2,023	Expert Systems with Applications	[ "Saidul Islam", "Hanae Elmekki", "Ahmed Elsebai", "Jamal Bentahar", "Nagat Drawel", "Gaith Rjoub", "Witold Pedrycz" ]	[ "Concordia University", "Istinye University", "Khalifa University of Science and Technology", "Polish Academy of Sciences", "Systems Research Institute", "University of Alberta" ]	[ "Brain Tumor Detection and Classification", "Advanced Neural Network Applications", "Currency Recognition and Detection" ]
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End of preview. Expand in Data Studio

IdeaTaste

Paper · Homepage · Code

Can LLMs match the research taste of human researchers? LLM agents read a literature corpus frozen at 2025 and write research proposals; those proposals are then scored against the papers the same communities published in 2026. Proposals and papers are compared both on the literature they cite and on the ideas they state, giving four metrics: citation matching, idea matching, citation diversity and idea diversity.

Four research areas, each with a literature corpus and a human reference: 263K papers published through 2025 and 11.6K published in January–August 2026, about 530 MB.

Quick start

With the code, which downloads the files into data/areas/ (skipping areas already there) and prints a preview of each:

git clone https://github.com/cxcscmu/IdeaTaste && cd IdeaTaste
pip install -e .
python data/download_and_preview.py

The data alone:

huggingface-cli download cx-cmu/IdeaTaste --repo-type dataset --local-dir data

from datasets import load_dataset
reference = load_dataset("cx-cmu/IdeaTaste", "reference", split="auto_research")

Areas

Each area is a literature corpus U of papers published through 2025, which LLM agents search and cite, and a human reference H of papers published January–August 2026, which their proposals are compared with.

Area	Corpus U	Reference H
`ml_systems` (machine learning systems)	88,184	5,188
`code_generation`	94,674	3,375
`world_models`	50,271	1,867
`auto_research`	30,264	1,136

Files in `areas/<area>/`

Paper ids are OpenAlex work URLs (https://openalex.org/W…) or Semantic Scholar ids (S2:…).

File	Contents
`corpus.parquet`	Corpus U. Columns: `id`, `title`, `abstract`, `publication_year`, `source_name`, `author_names`, `institution_names` (shown to LLM agents), and `topic_names` (used to allocate TOPIC and FRONTIER topics). The row order fixes search tie-breaking.
`corpus_embeddings.npy`	all-MiniLM-L6-v2 vectors of `title. abstract[:1200]`, one float32 row per corpus row.
`reference.parquet`	Reference H. Columns: `id`, `title`, `abstract`, `citations` (cited ids in U), and the five idea-schema slots `contribution_type` (`{primary, secondary}`), `problem`, `motivation`, `proposed_approach`, `research_plan`. A slot the abstract does not state reads `"None"`.
`slot_weights.json`	`w_i = -log2 p_i` per slot, where `p_i` is the share of 2026 papers whose slot i is matched by one of the 5 other 2026 papers retrieved for it.
`landscape.json`	LANDSCAPE only. `task_tags` and `method_tags` (2025 tag names), and `papers`: the tags of each 2025 paper (`id`, `date`, `tasks`, `methods`).

Sources and licence

Released under the MIT license. Metadata comes from OpenAlex (CC0) and Semantic Scholar. Abstracts remain under their publishers' copyright and are provided for research use.

Citation

@article{zhong2026ideataste,
  title   = {IdeaTaste: Do LLMs Share the Research Taste of Human Researchers?},
  author  = {Zhong, Shanshan and Xu, Chen and Ning, Jingjie and Liu, Zhengzhong and Kumar, Aviral and Xiong, Chenyan},
  journal = {arXiv preprint arXiv:2611.03424},
  year    = {2026}
}