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Award-winning papers from top conferences such as CVPR, NeurIPS, ICML and ACL

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AAAI
ACL
CVPR
ECCV
EMNLP
ICCV
ICLR
ICML
NAACL
NeurIPS
VLDB
WWW

Best/Outstanding Paper83
Honorable Mention / Runner-up166
Best Student19
Test of Time / Classic44

papers

Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation

Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation

Diffusion Model

Raphael Tang, Xinyu Zhang, Lixinyu Xu, et al.

Outstanding Paper

Which questions should I answer? Salience Prediction of Inquisitive Questions

Intelligent Question Answering

Yating Wu, Ritika Mangla, Alexandros G. Dimakis, et al.

Outstanding Paper

When Is Multilinguality a Curse? Language Modeling for 250 Highand Low-Resource Languages

Tyler A. Chang, Catherine Arnett, Zhuowen Tu, et al.

Outstanding Paper

Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

Xin Quan, Marco Valentino, Louise A. Dennis, et al.

Outstanding Paper

Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs

Retrieval-Augmented Generation

Simone Conia, Umar Farooq Minhas, Daniel Lee, et al.

Outstanding Paper

Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval

Yifan Qiao, Parker Carlson, Shanxiu He, et al.

Outstanding Paper

The Zeno's Paradox of 'Low-Resource' Languages

Natural Language Processing

Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman, et al.

Outstanding Paper

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories

Code Generation

Ben Bogin, Kejuan Yang, Shashank Gupta, et al.

Outstanding Paper

OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants

Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, et al.

Outstanding Paper

Measuring Psychological Depth in Language Models

Text Generation

Fabrice Harel-Canada, Hanyu Zhou, Sreya Muppalla, et al.

Outstanding Paper

Learning to Retrieve Iteratively for In-Context Learning

Retrieval-Augmented Generation

Yunmo Chen, Tongfei Chen, Harsh Jhamtani, et al.

Outstanding Paper

Learning Planning-based Reasoning via Trajectories Collection and Process Reward Synthesizing

Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, et al.

Outstanding Paper

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

Kanishka Misra, Kyle Mahowald

Outstanding Paper

GOLDCOIN: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory

Document Understanding

Wei Fan, Haoran Li, Zheye Deng, et al.

Outstanding Paper

Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge

Jiahuan Li, Yiqing Cao, Shujian Huang, et al.

Outstanding Paper

Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting

Maxime Kayser, Bayar Menzat, Cornelius Emde, et al.

Outstanding Paper

Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models

Sander Land, Max Bartolo

Outstanding Paper

Finding Blind Spots in Evaluator LLMs with Interpretable Checklists

Text Generation

Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, et al.

Outstanding Paper

Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs

Text Generation

Alexander Spangher, Nanyun Peng, Sebastian Gehrmann, et al.

Outstanding Paper

Are Large Language Models Capable of Generating Human-Level Narratives?

Text Generation

Yufei Tian, Tenghao Huang, Miri Liu, et al.

Outstanding Paper

Towards Robust Speech Representation Learning for Thousands of Languages

Audio and Speech Processing

William Chen, Wangyou Zhang, Yifan Peng, et al.

Best Paper Award

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

Weichao Zhang, Ruqing Zhang, Jiafeng Guo, et al.

Best Paper Award

COGEN: Learning from Feedback with Coupled Comprehension and Generation

Text Generation

Mustafa Omer Gul, Yoav Artzi

Best Paper Award

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space

Shahar Katz, Yonatan Belinkov, Mor Geva, et al.

Best Paper Award

An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance

Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, et al.

Best Paper Award

Which questions should I answer? Salience Prediction of Inquisitive Questions

When Is Multilinguality a Curse? Language Modeling for 250 Highand Low-Resource Languages

Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs

Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval

The Zeno's Paradox of 'Low-Resource' Languages

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories

OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants

Measuring Psychological Depth in Language Models

Learning to Retrieve Iteratively for In-Context Learning

Learning Planning-based Reasoning via Trajectories Collection and Process Reward Synthesizing

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

GOLDCOIN: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory

Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge

Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting

Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models

Finding Blind Spots in Evaluator LLMs with Interpretable Checklists

Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs

Are Large Language Models Capable of Generating Human-Level Narratives?

Towards Robust Speech Representation Learning for Thousands of Languages

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

COGEN: Learning from Feedback with Coupled Comprehension and Generation

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space

An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance

25