MusiCoder: A Universal Music-Acoustic Encoder Based on Transformers. - Yilun Zhao 001; Xinda Wu; Yuqing Ye; Jia Guo; Kejun Zhang (CoRR, 2020)

Apparel-invariant Feature Learning for Apparel-changed Person Re-identification. - Zhengxu Yu; Yilun Zhao 001; Bin Hong; Zhongming Jin 001; Jianqiang Huang; Deng Cai 001; Xiaofei He 001; Xian-Sheng Hua 001 (CoRR, 2020)

LAMP: Label Augmented Multimodal Pretraining. - Jia Guo; Chen Zhu; Yilun Zhao 001; Heda Wang; Yao Hu; Xiaofei He 001; Deng Cai 001 (CoRR, 2020)

MusiCoder: A Universal Music-Acoustic Encoder Based on Transformer. - Yilun Zhao 001; Jia Guo (MMM (1), 2021)

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data. - Yilun Zhao 001; Yunxiang Li; Chenying Li; Rui Zhang 037 (ACL (1), 2022)

R2D2: Robust Data-to-Text with Replacement Detection. - Linyong Nan; Lorenzo Jaime Yu Flores; Yilun Zhao 001; Yixin Liu 003; Luke Benson; Weijin Zou; Dragomir Radev (EMNLP, 2022)

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. - Yilun Zhao 001; Linyong Nan; Zhenting Qi; Rui Zhang 037; Dragomir Radev (EMNLP, 2022)

FinMath: Injecting a Tree-structured Solver for Question Answering over Financial Reports. - Chenying Li; Wenbo Ye; Yilun Zhao 001 (LREC, 2022)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Luke Benson; Lucy Sun; Ekaterina Zubova; Yujie Qiao; Matthew Burtell; David Peng; Jonathan Fan 001; et al. (CoRR, 2022)

Apparel-Invariant Feature Learning for Person Re-Identification. - Zhengxu Yu; Yilun Zhao 001; Bin Hong; Zhongming Jin 001; Jianqiang Huang; Deng Cai 001; Xian-Sheng Hua 001 (IEEE Trans. Multim., 2022)

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Yilun Zhao 001; Linyong Nan; Ruilin Han; Simeng Han; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (ACL (1), 2023)

OpenRT: An Open-source Framework for Reasoning Over Tabular Data. - Yilun Zhao 001; Boyu Mi; Zhenting Qi; Linyong Nan; Minghao Guo; Arman Cohan; Dragomir Radev (ACL (demo), 2023)

RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. - Yilun Zhao 001; Chen Zhao; Linyong Nan; Zhenting Qi; Wenlin Zhang; Xiangru Tang; Boyu Mi; Dragomir Radev (ACL (1), 2023)

LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Lorenzo Jaime Yu Flores; Dragomir Radev (EACL, 2023)

QTSumm: Query-Focused Summarization over Tabular Data. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Ruizhe Chen; Xiangru Tang; Yumo Xu; Dragomir Radev; Arman Cohan (EMNLP, 2023)

Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios. - Yilun Zhao 001; Haowei Zhang 002; Shengyun Si; Linyong Nan; Xiangru Tang; Arman Cohan (EMNLP (Industry Track), 2023)

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Yilun Zhao 001; Pengfei Liu 003; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (EMNLP, 2023)

Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (EMNLP (Findings), 2023)

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (CoRR, 2023)

QTSumm: A New Benchmark for Query-Focused Table Summarization. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Xiangru Tang; Yumo Xu; Arman Cohan; Dragomir Radev (CoRR, 2023)

Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers. - Yilun Zhao 001; Haowei Zhang 002; Shengyun Si; Linyong Nan; Xiangru Tang; Arman Cohan (CoRR, 2023)

ODSum: New Benchmarks for Open Domain Multi-Document Summarization. - Yijie Zhou; Kejian Shi; Wencai Zhang; Yixin Liu 003; Yilun Zhao 001; Arman Cohan (CoRR, 2023)

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? - Xiangru Tang; Yiming Zong; Jason Phang; Yilun Zhao 001; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (CoRR, 2023)

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. - Ansong Ni; Pengcheng Yin; Yilun Zhao 001; Martin Riddell; Troy Feng; Rui Shen; Stephen Yin; Ye Liu 006; Semih Yavuz; Caiming Xiong; Shafiq Joty; Yingbo Zhou; et al. (CoRR, 2023)

KnowledgeMath: Knowledge-Intensive Math Word Problem Solving in Finance Domains. - Yilun Zhao 001; Hongjun Liu 001; Yitao Long; Rui Zhang 037; Chen Zhao; Arman Cohan (CoRR, 2023)

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. - Yilun Zhao 001; Yitao Long; Hongjun Liu 001; Linyong Nan; Lyuhao Chen; Ryo Kamoi; Yixin Liu 003; Xiangru Tang; Rui Zhang 037; Arman Cohan (CoRR, 2023)

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. - Yuliang Liu; Xiangru Tang; Zefan Cai; Junjie Lu; Yichi Zhang; Yanjun Shao; Zexuan Deng; Helan Hu; Zengxian Yang; Kaikai An; Ruijun Huang; Shuzheng Si; et al. (CoRR, 2023)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. - Xiangru Tang; Anni Zou; Zhuosheng Zhang 001; Yilun Zhao 001; Xingyao Zhang; Arman Cohan; Mark Gerstein (CoRR, 2023)

TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning. - Yilun Zhao 001; Lyuhao Chen; Arman Cohan; Chen Zhao (ACL (1), 2024)

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents. - Yilun Zhao 001; Yitao Long; Hongjun Liu 001; Ryo Kamoi; Linyong Nan; Lyuhao Chen; Yixin Liu 003; Xiangru Tang; Rui Zhang 037; Arman Cohan (ACL (1), 2024)

KnowledgeFMath: A Knowledge-Intensive Math Reasoning Dataset in Finance Domains. - Yilun Zhao 001; Hongjun Liu 001; Yitao Long; Rui Zhang 037; Chen Zhao; Arman Cohan (ACL (1), 2024)

Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation. - Chunyuan Deng; Yilun Zhao 001; Yuzhao Heng; Yitong Li; Jiannan Cao; Xiangru Tang; Arman Cohan (ACL (Findings), 2024)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. - Xiangru Tang; Anni Zou; Zhuosheng Zhang 001; Ziming Li; Yilun Zhao 001; Xingyao Zhang; Arman Cohan; Mark Gerstein (ACL (Findings), 2024)

FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents. - Yilun Zhao 001; Yitao Long; Tintin Jiang; Chengye Wang; Weiyuan Chen; Hongjun Liu 001; Xiangru Tang; Yiming Zhang; Chen Zhao; Arman Cohan (EMNLP, 2024)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Wenfei Zhou; James Coady; David Peng; Yujie Qiao; Luke Benson; Lucy Sun; Alexander Wardle-Solano; et al. (EMNLP, 2024)

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. - Simeng Han; Aaron Yu; Rui Shen; Zhenting Qi; Martin Riddell; Wenfei Zhou; Yujie Qiao; Yilun Zhao 001; Semih Yavuz; Ye Liu 006; Shafiq Joty; Yingbo Zhou; et al. (EMNLP (Findings), 2024)

M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models. - Chuhan Li; Ziyao Shangguan; Yilun Zhao 001; Deyuan Li; Yixin Liu 003; Arman Cohan (EMNLP (Findings), 2024)

OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems. - Linyong Nan; Weining Fang; Aylin Rasteh; Pouya Lahabi; Weijin Zou; Yilun Zhao 001; Arman Cohan (EMNLP (Industry Track), 2024)

Revisiting Automated Evaluation for Long-form Table Question Answering. - Yuqi Wang; Lyuhao Chen; Songcheng Cai; Zhijian Xu; Yilun Zhao 001 (EMNLP, 2024)

Investigating Data Contamination in Modern Benchmarks for Large Language Models. - Chunyuan Deng; Yilun Zhao 001; Xiangru Tang; Mark Gerstein; Arman Cohan (NAACL-HLT, 2024)

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. - Yixin Liu 003; Alexander R. Fabbri; Jiawen Chen; Yilun Zhao 001; Simeng Han; Shafiq Joty; Pengfei Liu 003; Dragomir Radev; Chien-Sheng Wu; Arman Cohan (NAACL-HLT (Findings), 2024)

On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering. - Linyong Nan; Ellen Zhang; Weijin Zou; Yilun Zhao 001; Wenfei Zhou; Arman Cohan (NAACL-HLT (Findings), 2024)

Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? - Xiangru Tang; Yiming Zong; Jason Phang; Yilun Zhao 001; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (NAACL (Short Papers), 2024)

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs. - Zhiyuan Hu; Chumin Liu; Xidong Feng; Yilun Zhao 001; See-Kiong Ng; Anh Tuan Luu; Junxian He; Pang Wei W. Koh; Bryan Hooi (NeurIPS, 2024)

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. - Zhiyuan Hu; Chumin Liu; Xidong Feng; Yilun Zhao 001; See-Kiong Ng; Anh Tuan Luu; Junxian He; Pang Wei Koh; Bryan Hooi (CoRR, 2024)

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. - Xiangru Tang; Qiao Jin 001; Kunlun Zhu; Tongxin Yuan; Yichi Zhang; Wangchunshu Zhou; Meng Qu; Yilun Zhao 001; Jian Tang; Zhuosheng Zhang 001; Arman Cohan; Zhiyong Lu; et al. (CoRR, 2024)

Evaluating LLMs at Detecting Errors in LLM Responses. - Ryo Kamoi; Sarkar Snigdha Sarathi Das; Renze Lou; Jihyun Janice Ahn; Yilun Zhao 001; Xiaoxin Lu; Nan Zhang; Yusen Zhang 001; Ranran Haoran Zhang; Sujeeth Reddy Vummanthala; Salika Dave; Shaobo Qin; et al. (CoRR, 2024)

MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise. - Chunyuan Deng; Xiangru Tang; Yilun Zhao 001; Hanming Wang; Haoran Wang; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (CoRR, 2024)

Step-Back Profiling: Distilling User History for Personalized Scientific Writing. - Xiangru Tang; Xingyao Zhang; Yanjun Shao; Jie Wu; Yilun Zhao 001; Arman Cohan; Ming Gong 001; Dongmei Zhang 001; Mark Gerstein (CoRR, 2024)

Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation. - Chunyuan Deng; Yilun Zhao 001; Yuzhao Heng; Yitong Li; Jiannan Cao; Xiangru Tang; Arman Cohan (CoRR, 2024)

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. - Qianqian Xie; Dong Li; Mengxi Xiao; Zihao Jiang 012; Ruoyu Xiang; Xiao Zhang; Zhengyu Chen; Yueru He; Weiguang Han; Yuzhe Yang 002; Shunian Chen; Yifei Zhang; et al. (CoRR, 2024)

FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents. - Yilun Zhao 001; Yitao Long; Yuru Jiang; Chengye Wang; Weiyuan Chen; Hongjun Liu 001; Yiming Zhang; Xiangru Tang; Chen Zhao; Arman Cohan (CoRR, 2024)

ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain. - Haochen Zhao; Xiangru Tang; Ziran Yang; Xiao Han; Xuanzhi Feng; Yueqing Fan; Senhao Cheng; Di Jin; Yilun Zhao 001; Arman Cohan; Mark Gerstein (CoRR, 2024)

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation. - Zhaojian Yu; Yilun Zhao 001; Arman Cohan; Xiao-Ping Zhang (CoRR, 2024)

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. - Ansong Ni; Pengcheng Yin; Yilun Zhao 001; Martin Riddell; Troy Feng; Rui Shen; Stephen Yin; Ye Liu 006; Semih Yavuz; Caiming Xiong; Shafiq Joty; Yingbo Zhou; et al. (Trans. Assoc. Comput. Linguistics, 2024)

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research. - Yilun Zhao 001; Weiyuan Chen; Zhijian Xu; Manasi Patwardhan 001; Chengye Wang; Yixin Liu 003; Lovekesh Vig; Arman Cohan (ACL (1), 2025)

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers. - Yilun Zhao 001; Chengye Wang; Chuhan Li; Arman Cohan (ACL (Findings), 2025)

Physics: Benchmarking Foundation Models on University-Level Physics Problem Solving. - Kaiyue Feng; Yilun Zhao 001; Yixin Liu 003; Tianyu Yang; Chen Zhao; John Sous; Arman Cohan (ACL (Findings), 2025)

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos. - Tingyu Song; Tongyan Hu; Guo Gan; Yilun Zhao 001 (ACL (1), 2025)

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification. - Chengye Wang; Yifei Shen; Zexi Kuang; Arman Cohan; Yilun Zhao 001 (ACL (1), 2025)

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers. - Zhijian Xu; Yilun Zhao 001; Manasi Patwardhan 001; Lovekesh Vig; Arman Cohan (ACL (1), 2025)

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation Task. - Zhaojian Yu; Yilun Zhao 001; Arman Cohan; Xiaoping Zhang (ACL (Findings), 2025)

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding. - Yilun Zhao 001; Haowei Zhang 002; Lujing Xie; Tongyan Hu; Guo Gan; Yitao Long; Zhiyuan Hu; Weiyuan Chen; Chuhan Li; Zhijian Xu; Chengye Wang; Ziyao Shangguan; et al. (CVPR, 2025)

TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models. - Ziyao Shangguan; Chuhan Li; Yuxuan Ding; Yanan Zheng; Yilun Zhao 001; Tesca Fitzgerald; Arman Cohan (ICLR, 2025)

ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning. - Xiangru Tang; Tianyu Hu; Muyang Ye; Yanjun Shao; Xunjian Yin; Siru Ouyang; Wangchunshu Zhou; Pan Lu; Zhuosheng Zhang 001; Yilun Zhao 001; Arman Cohan; Mark Gerstein (ICLR, 2025)

ReIFE: Re-evaluating Instruction-Following Evaluation. - Yixin Liu 003; Kejian Shi; Alexander R. Fabbri; Yilun Zhao 001; Peifeng Wang; Chien-Sheng Wu; Shafiq Joty; Arman Cohan (NAACL (Long Papers), 2025)

IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval. - Tingyu Song; Guo Gan; Mingsheng Shang 001; Yilun Zhao 001 (NAACL (Long Papers), 2025)

Are Multimodal LLMs Robust Against Adversarial Perturbations? RoMMath: A Systematic Evaluation on Multimodal Math Reasoning. - Yilun Zhao 001; Guo Gan; Chen Zhao; Arman Cohan (NAACL (Long Papers), 2025)

ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning. - Xiangru Tang; Tianyu Hu; Muyang Ye; Yanjun Shao; Xunjian Yin; Siru Ouyang; Wangchunshu Zhou; Pan Lu; Zhuosheng Zhang 001; Yilun Zhao 001; Arman Cohan; Mark Gerstein (CoRR, 2025)

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding. - Yilun Zhao 001; Lujing Xie; Haowei Zhang 002; Guo Gan; Yitao Long; Zhiyuan Hu; Tongyan Hu; Weiyuan Chen; Chuhan Li; Junyang Song; Zhijian Xu; Chengye Wang; et al. (CoRR, 2025)

MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning. - Xiangru Tang; Daniel Shao; Jiwoong Sohn; Jiapeng Chen; Jiayi Zhang; Jinyu Xiang; Fang Wu; Yilun Zhao 001; Chenglin Wu; Wenqi Shi; Arman Cohan; Mark Gerstein (CoRR, 2025)

Survey on Evaluation of LLM-based Agents. - Asaf Yehudai; Lilach Eden; Alan Li; Guy Uziel; Yilun Zhao 001; Roy Bar-Haim; Arman Cohan; Michal Shmueli-Scheuer (CoRR, 2025)

Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA. - Justice Ou; Tinglin Huang; Yilun Zhao 001; Ziyang Yu; Peiqing Lu; Rex Ying (CoRR, 2025)

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search. - Yunhai Hu; Yilun Zhao 001; Chen Zhao; Arman Cohan (CoRR, 2025)

Z1: Efficient Test-time Scaling with Code. - Zhaojian Yu; Yinghao Wu; Yilun Zhao 001; Arman Cohan; Xiao-Ping Zhang (CoRR, 2025)

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective. - Siyue Zhang; Yilun Zhao 001; Liyuan Geng; Arman Cohan; Anh Tuan Luu; Chen Zhao (CoRR, 2025)

Judging with Many Minds: Do More Perspectives Mean Less Prejudice? - Chiyu Ma; Enpei Zhang; Yilun Zhao 001; Wenjun Liu; Yaning Jia; Peijun Qing; Lin Shi; Arman Cohan; Yujun Yan; Soroush Vosoughi (CoRR, 2025)

Table-R1: Inference-Time Scaling for Table Reasoning. - Zheyuan Yang; Lyuhao Chen; Arman Cohan; Yilun Zhao 001 (CoRR, 2025)

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing. - Hongjun Liu 001; Yilun Zhao 001; Arman Cohan; Chen Zhao (CoRR, 2025)

Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure. - Zheyuan Yang; Zexi Kuang; Xue Xia; Yilun Zhao 001 (CoRR, 2025)

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. - Xueqing Peng; Lingfei Qian; Yan Wang; Ruoyu Xiang; Yueru He; Yang Ren; Mingyang Jiang; Jeff Zhao; Huan He; Yi Han; Yun Feng; Yuechen Jiang; et al. (CoRR, 2025)

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks. - Yilun Zhao 001; Kaiyan Zhang; Tiansheng Hu; Sihong Wu; Ronan Le Bras 001; Taira Anderson; Jonathan Bragg; Joseph Chee Chang; Jesse Dodge; Matt Latzke; Yixin Liu 003; Charles McGrady; et al. (CoRR, 2025)

Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers. - Zhiyuan Peng; Ting-Ruen Wei; Tingyu Song; Yilun Zhao 001; Yi Fang (CoRR, 2025)