Cross-region traffic prediction for China on OpenStreetMap. - Frank F. Xu; Bill Y. Lin; Qi Lu; Yifei Huang; Kenny Q. Zhu (IWCTS@SIGSPATIAL, 2016)

Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media. - Bill Y. Lin; Frank F. Xu; Zhiyi Luo; Kenny Q. Zhu (NUT@EMNLP, 2017)

Commonsense LocatedNear Relation Extraction. - Frank F. Xu; Bill Y. Lin; Kenny Q. Zhu (AKBC@NIPS, 2017)

Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks. - Yaowei Huang; Jinghuan Shang; Bill Y. Lin; Luoyi Fu; Xinbing Wang (AAAI, 2018)

Transfer Learning for Traffic Speed Prediction: A Preliminary Study. - Bill Y. Lin; Frank F. Xu; Eve Q. Liao; Kenny Q. Zhu (AAAI Workshops, 2018)

Mining Cross-Cultural Differences and Similarities in Social Media. - Bill Y. Lin; Frank F. Xu; Kenny Q. Zhu; Seung-won Hwang (ACL (1), 2018)

Automatic Extraction of Commonsense LocatedNear Knowledge. - Frank F. Xu; Bill Y. Lin; Kenny Q. Zhu (ACL (2), 2018)

Neural Adaptation Layers for Cross-domain Named Entity Recognition. - Bill Yuchen Lin; Wei Lu 011 (EMNLP, 2018)

ExtRA: Extracting Prominent Review Aspects from Customer Feedback. - Zhiyi Luo; Shanshan Huang 002; Frank F. Xu; Bill Yuchen Lin; Hanyuan Shi; Kenny Q. Zhu (EMNLP, 2018)

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging. - Bill Yuchen Lin; Dong-Ho Lee; Frank F. Xu; Ouyu Lan; Xiang Ren 001 (ACL (3), 2019)

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. - Bill Yuchen Lin; Xinyue Chen; Jamin Chen; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning. - Bill Yuchen Lin; Ming Shen; Yu Xing; Pei Zhou; Xiang Ren 001 (CoRR, 2019)

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. - Ouyu Lan; Xiao Huang; Bill Yuchen Lin; He Jiang; Liyuan Liu; Xiang Ren 001 (ACL, 2020)

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. - Dong-Ho Lee; Rahul Khanna; Bill Yuchen Lin; Seyeon Lee; Qinyuan Ye; Elizabeth Boschee; Leonardo Neves; Xiang Ren 001 (ACL (demo), 2020)

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. - Bill Yuchen Lin; Dong-Ho Lee; Ming Shen; Ryan Moreno; Xiao Huang; Prashant Shiralkar; Xiang Ren 001 (ACL, 2020)

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. - Bill Yuchen Lin; Ming Shen; Wangchunshu Zhou; Pei Zhou; Chandra Bhagavatula; Yejin Choi 001; Xiang Ren 001 (AKBC, 2020)

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. - Yanlin Feng; Xinyue Chen; Bill Yuchen Lin; Peifeng Wang; Jun Yan 012; Xiang Ren 001 (EMNLP (1), 2020)

Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models. - Bill Yuchen Lin; Seyeon Lee; Rahul Khanna; Xiang Ren 001 (EMNLP (1), 2020)

FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. - Bill Yuchen Lin; Ying Sheng 002; Nguyen Vo; Sandeep Tata (KDD, 2020)

NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. - Wenxuan Zhou; Hongtao Lin; Bill Yuchen Lin; Ziqi Wang 003; Junyi Du; Leonardo Neves; Xiang Ren 001 (WWW, 2020)

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. - Dong-Ho Lee; Rahul Khanna; Bill Yuchen Lin; Jamin Chen; Seyeon Lee; Qinyuan Ye; Elizabeth Boschee; Leonardo Neves; Xiang Ren 001 (CoRR, 2020)

Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models. - Pei Zhou; Rahul Khanna; Bill Yuchen Lin; Daniel Ho; Xiang Ren 001; Jay Pujara (CoRR, 2020)

Pre-training Text-to-Text Transformers for Concept-centric Common Sense. - Wangchunshu Zhou; Dong-Ho Lee; Ravi Kiran Selvam; Seyeon Lee; Bill Yuchen Lin; Xiang Ren 001 (CoRR, 2020)

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. - Wenxuan Zhou; Bill Yuchen Lin; Xiang Ren 001 (AAAI, 2021)

Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. - Bill Yuchen Lin; Seyeon Lee; Xiaoyang Qiao; Xiang Ren 001 (ACL/IJCNLP (1), 2021)

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge. - Bill Yuchen Lin; Ziyi Wu; Yichi Yang; Dong-Ho Lee; Xiang Ren 001 (ACL/IJCNLP (Findings), 2021)

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. - Xisen Jin; Bill Yuchen Lin; Mohammad Rostami; Xiang Ren 001 (EMNLP (Findings), 2021)

RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. - Bill Yuchen Lin; Wenyang Gao; Jun Yan 012; Ryan Moreno; Xiang Ren 001 (EMNLP (1), 2021)

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. - Qinyuan Ye; Bill Yuchen Lin; Xiang Ren 001 (EMNLP (1), 2021)

Probing Commonsense Explanation in Dialogue Response Generation. - Pei Zhou; Pegah Jandaghi; Hyundong Cho; Bill Yuchen Lin; Jay Pujara; Xiang Ren 001 (EMNLP (Findings), 2021)

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. - Pei Zhou; Rahul Khanna; Seyeon Lee; Bill Yuchen Lin; Daniel Ho; Jay Pujara; Xiang Ren 001 (EMNLP (1), 2021)

Differentiable Open-Ended Commonsense Reasoning. - Bill Yuchen Lin; Haitian Sun; Bhuwan Dhingra; Manzil Zaheer; Xiang Ren 001; William W. Cohen (NAACL-HLT, 2021)

RiddleSense: Answering Riddle Questions as Commonsense Reasoning. - Bill Yuchen Lin; Ziyi Wu; Yichi Yang; Dong-Ho Lee; Xiang Ren 001 (CoRR, 2021)

FedNLP: A Research Platform for Federated Learning in Natural Language Processing. - Bill Yuchen Lin; Chaoyang He 001; Zihang Zeng; Hulin Wang; Yufen Huang; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (CoRR, 2021)

Probing Causal Common Sense in Dialogue Response Generation. - Pei Zhou; Pegah Jandaghi; Bill Yuchen Lin; Justin Cho; Jay Pujara; Xiang Ren 001 (CoRR, 2021)

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. - Dong-Ho Lee; Ravi Kiran Selvam; Sheikh Muhammad Sarwar; Bill Yuchen Lin; Mahak Agarwal; Fred Morstatter; Jay Pujara; Elizabeth Boschee; James Allan; Xiang Ren 001 (CoRR, 2021)

On Continual Model Refinement in Out-of-Distribution Data Streams. - Bill Yuchen Lin; Sida Wang 001; Xi Victoria Lin; Robin Jia; Lin Xiao; Xiang Ren 001; Scott Yih (ACL (1), 2022)

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. - Pei Zhou; Hyundong Cho; Pegah Jandaghi; Dong-Ho Lee; Bill Yuchen Lin; Jay Pujara; Xiang Ren 001 (EMNLP, 2022)

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. - Bill Yuchen Lin; Chaoyang He 001; Zihang Ze; Hulin Wang; Yufen Hua; Christophe Dupuy; Rahul Gupta 001; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (NAACL-HLT (Findings), 2022)

On the Robustness of Reading Comprehension Models to Entity Renaming. - Jun Yan 012; Yang Xiao; Sagnik Mukherjee; Bill Yuchen Lin; Robin Jia; Xiang Ren 001 (NAACL-HLT, 2022)

Unsupervised Cross-Task Generalization via Retrieval Augmentation. - Bill Yuchen Lin; Kangmin Tan; Chris Miller; Beiwen Tian; Xiang Ren 001 (NeurIPS, 2022)

PairReranker: Pairwise Reranking for Natural Language Generation. - Dongfu Jiang; Bill Yuchen Lin; Xiang Ren 001 (CoRR, 2022)

On Grounded Planning for Embodied Tasks with Language Models. - Bill Yuchen Lin; Chengsong Huang; Qian Liu 012; Wenda Gu; Sam Sommerer; Xiang Ren 001 (AAAI, 2023)

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. - Dongfu Jiang; Xiang Ren 001; Bill Yuchen Lin (ACL (1), 2023)

Complex Reasoning in Natural Languag. - Wenting Zhao; Mor Geva; Bill Yuchen Lin; Michihiro Yasunaga; Aman Madaan; Tao Yu 009 (ACL (tutorial), 2023)

AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. - Dong-Ho Lee; Ravi Kiran Selvam; Sheikh Muhammad Sarwar; Bill Yuchen Lin; Fred Morstatter; Jay Pujara; Elizabeth Boschee; James Allan; Xiang Ren 001 (EACL, 2023)

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. - Ximing Lu; Faeze Brahman; Peter West; Jaehun Jung; Khyathi Raghavi Chandu; Abhilasha Ravichander; Prithviraj Ammanabrolu; Liwei Jiang; Sahana Ramnath; Nouha Dziri; Jillian Fisher; Bill Y. Lin; et al. (EMNLP, 2023)

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. - Peter West; Ronan Le Bras 001; Taylor Sorensen; Bill Yuchen Lin; Liwei Jiang; Ximing Lu; Khyathi Raghavi Chandu; Jack Hessel; Ashutosh Baheti; Chandra Bhagavatula; Yejin Choi 001 (EMNLP (Findings), 2023)

Faith and Fate: Limits of Transformers on Compositionality. - Nouha Dziri; Ximing Lu; Melanie Sclar; Xiang Lorraine Li; Liwei Jiang; Bill Yuchen Lin; Sean Welleck; Peter West; Chandra Bhagavatula; Ronan Le Bras 001; Jena D. Hwang; Soumya Sanyal 001; et al. (NeurIPS, 2023)

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. - Bill Yuchen Lin; Yicheng Fu; Karina Yang; Faeze Brahman; Shiyu Huang 001; Chandra Bhagavatula; Prithviraj Ammanabrolu; Yejin Choi 001; Xiang Ren 001 (NeurIPS, 2023)

Knowledge-Augmented Methods for Natural Language Processing. - Chenguang Zhu 001; Yichong Xu; Xiang Ren 001; Bill Yuchen Lin; Meng Jiang 001; Wenhao Yu 002 (WSDM, 2023)

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition. - Chengsong Huang; Qian Liu 012; Bill Yuchen Lin; Tianyu Pang; Chao Du; Min Lin (CoRR, 2023)

Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4. - Jiaxian Guo; Bo Yang 057; Paul Yoo; Bill Yuchen Lin; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2023)

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging. - Joel Jang; Seungone Kim; Bill Yuchen Lin; Yizhong Wang; Jack Hessel; Luke Zettlemoyer; Hannaneh Hajishirzi; Yejin Choi 001; Prithviraj Ammanabrolu (CoRR, 2023)

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. - Da Yin; Faeze Brahman; Abhilasha Ravichander; Khyathi Raghavi Chandu; Kai-Wei Chang; Yejin Choi 001; Bill Yuchen Lin (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents. - Yifan Song 002; Da Yin; Xiang Yue; Jie Huang; Sujian Li; Bill Yuchen Lin (ACL (1), 2024)

Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. - Tejas Srinivasan; Jack Hessel; Tanmay Gupta; Bill Yuchen Lin; Yejin Choi 001; Jesse Thomason; Khyathi Raghavi Chandu (ACL (Findings), 2024)

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. - Zhangchen Xu; Fengqing Jiang; Luyao Niu; Jinyuan Jia 001; Bill Yuchen Lin; Radha Poovendran (ACL (1), 2024)

Agent Lumos: Unified and Modular Training for Open-Source Language Agents. - Da Yin; Faeze Brahman; Abhilasha Ravichander; Khyathi Raghavi Chandu; Kai-Wei Chang; Yejin Choi 001; Bill Yuchen Lin (ACL (1), 2024)

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. - Tianyu Zheng; Ge Zhang 009; Tianhao Shen; Xueling Liu; Bill Yuchen Lin; Jie Fu 001; Wenhu Chen; Xiang Yue (ACL (Findings), 2024)

VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. - Xuan He; Dongfu Jiang; Ge Zhang 009; Max Ku; Achint Soni; Sherman Siu; Haonan Chen; Abhranil Chandra; Ziyan Jiang; Aaran Arulraj; Kai Wang 068; Quy Duc Do; et al. (EMNLP, 2024)

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. - Seungone Kim; Juyoung Suk; Shayne Longpre; Bill Yuchen Lin; Jamin Shin; Sean Welleck; Graham Neubig; Moontae Lee; Kyungjae Lee 002; Minjoon Seo (EMNLP, 2024)

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. - Bill Yuchen Lin; Abhilasha Ravichander; Ximing Lu; Nouha Dziri; Melanie Sclar; Khyathi Raghavi Chandu; Chandra Bhagavatula; Yejin Choi 001 (ICLR, 2024)

WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs. - Seungju Han 002; Kavel Rao; Allyson Ettinger; Liwei Jiang; Bill Yuchen Lin; Nathan Lambert 001; Yejin Choi 001; Nouha Dziri (NeurIPS, 2024)

WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences. - Yujie Lu; Dongfu Jiang; Wenhu Chen; William Yang Wang; Yejin Choi 001; Bill Yuchen Lin (NeurIPS, 2024)

L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. - Yutaro Yamada; Khyathi Raghavi Chandu; Bill Yuchen Lin; Jack Hessel; Ilker Yildirim; Yejin Choi 001 (CoRR, 2024)

RewardBench: Evaluating Reward Models for Language Modeling. - Nathan Lambert 001; Valentina Pyatkin; Jacob Morrison; LJ Miranda; Bill Yuchen Lin; Khyathi Raghavi Chandu; Nouha Dziri; Sachin Kumar 009; Tom Zick; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (CoRR, 2024)

VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? - Junpeng Liu 001; Yifan Song 002; Bill Yuchen Lin; Wai Lam; Graham Neubig; Yuanzhi Li; Xiang Yue (CoRR, 2024)

CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting. - Huihan Li 001; Liwei Jiang; Jena D. Huang; Hyunwoo Kim 002; Sebastin Santy; Taylor Sorensen; Bill Yuchen Lin; Nouha Dziri; Xiang Ren 001; Yejin Choi 001 (CoRR, 2024)

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series. - Ge Zhang 009; Scott Qu; Jiaheng Liu; Chenchen Zhang; Chenghua Lin; Chou Leuang Yu; Danny Pan; Esther Cheng; Jie Liu 047; Qunshu Lin; Raven Yuan; Tuney Zheng; et al. (CoRR, 2024)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. - Bill Yuchen Lin; Yuntian Deng; Khyathi Raghavi Chandu; Faeze Brahman; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras 001; Yejin Choi 001 (CoRR, 2024)

OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation. - Zilong Wang 002; Yuedong Cui; Li Zhong; Zimin Zhang; Da Yin; Bill Yuchen Lin; Jingbo Shang (CoRR, 2024)

SimulBench: Evaluating Language Models with Creative Simulation Tasks. - Qi Jia; Xiang Yue; Tianyu Zheng; Jie Huang; Bill Yuchen Lin (CoRR, 2024)

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions. - Xuhui Zhou; Hyunwoo Kim 002; Faeze Brahman; Liwei Jiang; Hao Zhu 011; Ximing Lu; Frank Xu; Bill Yuchen Lin; Yejin Choi 001; Niloofar Mireshghallah; Ronan Le Bras 001; Maarten Sap (CoRR, 2024)

Visual Perception in Text Strings. - Qi Jia; Xiang Yue; Shanshan Huang 002; Ziheng Qin; Yizhu Liu; Bill Yuchen Lin; Yang You 001 (CoRR, 2024)

CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs. - Yu Ying Chiu; Liwei Jiang; Bill Yuchen Lin; Chan Young Park; Shuyue Stella Li; Sahithya Ravi; Mehar Bhatia; Maria Antoniak; Yulia Tsvetkov; Vered Shwartz; Yejin Choi 001 (CoRR, 2024)

On Memorization of Large Language Models in Logical Reasoning. - Chulin Xie; Yangsibo Huang; Chiyuan Zhang; Da Yu; Xinyun Chen; Bill Yuchen Lin; Bo Li 026; Badih Ghazi; Ravi Kumar 001 (CoRR, 2024)

Stronger Models are NOT Stronger Teachers for Instruction Tuning. - Zhangchen Xu; Fengqing Jiang; Luyao Niu; Bill Yuchen Lin; Radha Poovendran (CoRR, 2024)

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CoRR, 2024)

TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks. - Dongfu Jiang; Yishan Li; Ge Zhang 009; Wenhao Huang 001; Bill Yuchen Lin; Wenhu Chen (Trans. Mach. Learn. Res., 2024)

Knowledge-augmented Methods for Natural Language Processing - Meng Jiang 001; Bill Yuchen Lin; Shuohang Wang; Yichong Xu; Wenhao Yu 002; Chenguang Zhu 001 (Springer, 2024)

ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates. - Fengqing Jiang; Zhangchen Xu; Luyao Niu; Bill Yuchen Lin; Radha Poovendran (AAAI, 2025)

CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming. - Yu Ying Chiu; Liwei Jiang; Bill Yuchen Lin; Chan Young Park; Shuyue Stella Li; Sahithya Ravi; Mehar Bhatia; Maria Antoniak; Yulia Tsvetkov; Vered Shwartz; Yejin Choi 001 (ACL (1), 2025)

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities. - Fengqing Jiang; Zhangchen Xu; Yuetai Li; Luyao Niu; Zhen Xiang; Bo Li 026; Bill Yuchen Lin; Radha Poovendran (ACL (Findings), 2025)

Small Models Struggle to Learn from Strong Reasoners. - Yuetai Li; Xiang Yue; Zhangchen Xu; Fengqing Jiang; Luyao Niu; Bill Yuchen Lin; Bhaskar Ramasubramanian; Radha Poovendran (ACL (Findings), 2025)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CVPR, 2025)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. - Bill Yuchen Lin; Yuntian Deng; Khyathi Raghavi Chandu; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras 001; Yejin Choi 001 (ICLR, 2025)

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. - Zhangchen Xu; Fengqing Jiang; Luyao Niu; Yuntian Deng; Radha Poovendran; Yejin Choi 001; Bill Yuchen Lin (ICLR, 2025)

Latent Action Pretraining from Videos. - Seonghyeon Ye; Joel Jang; Byeongguk Jeon; Se June Joo; Jianwei Yang; Baolin Peng; Ajay Mandlekar; Reuben Tan; Yu-Wei Chao; Bill Yuchen Lin; Lars Liden; Kimin Lee; et al. (ICLR, 2025)

SimulBench: Evaluating Language Models with Creative Simulation Tasks. - Qi Jia; Xiang Yue; Tuney Zheng; Jie Huang; Bill Yuchen Lin (NAACL (Findings), 2025)

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. - Seungone Kim; Juyoung Suk; Ji Yong Cho; Shayne Longpre; Chaeeun Kim; Dongkeun Yoon; Guijin Son; Yejin Choi 001; Sheikh Shafayat; Jinheon Baek; Sue Hyun Park; Hyeonbin Hwang; et al. (NAACL (Long Papers), 2025)

RewardBench: Evaluating Reward Models for Language Modeling. - Nathan Lambert 001; Valentina Pyatkin; Jacob Morrison; Lester James V. Miranda; Bill Yuchen Lin; Khyathi Raghavi Chandu; Nouha Dziri; Sachin Kumar 009; Tom Zick; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (NAACL (Findings), 2025)

Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models. - Abhilasha Ravichander; Jillian Fisher; Taylor Sorensen; Ximing Lu; Maria Antoniak; Bill Yuchen Lin; Niloofar Mireshghallah; Chandra Bhagavatula; Yejin Choi 001 (NAACL (Long Papers), 2025)

The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism. - Yifan Song 002; Guoyin Wang; Sujian Li; Bill Yuchen Lin (NAACL (Long Papers), 2025)

Stronger Models are Not Always Stronger Teachers for Instruction Tuning. - Zhangchen Xu; Fengqing Jiang; Luyao Niu; Bill Yuchen Lin; Radha Poovendran (NAACL (Long Papers), 2025)

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning. - Bill Yuchen Lin; Ronan Le Bras 001; Kyle Richardson 001; Ashish Sabharwal; Radha Poovendran; Peter Clark; Yejin Choi 001 (CoRR, 2025)

CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation. - Jixuan Leng; Chengsong Huang; Langlin Huang; Bill Yuchen Lin; William W. Cohen; Haohan Wang; Jiaxin Huang 001 (CoRR, 2025)

TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning. - Zhangchen Xu; Yuetai Li; Fengqing Jiang; Bhaskar Ramasubramanian; Luyao Niu; Bill Yuchen Lin; Radha Poovendran (CoRR, 2025)

Temporal Sampling for Forgotten Reasoning in LLMs. - Yuetai Li; Zhangchen Xu; Fengqing Jiang; Bhaskar Ramasubramanian; Luyao Niu; Bill Yuchen Lin; Xiang Yue; Radha Poovendran (CoRR, 2025)

VisualSphinx: Large-Scale Synthetic Vision Logic Puzzles for RL. - Yichen Feng; Zhangchen Xu; Fengqing Jiang; Yuetai Li; Bhaskar Ramasubramanian; Luyao Niu; Bill Yuchen Lin; Radha Poovendran (CoRR, 2025)