Yilun Zhao

According to our database, Yilun Zhao authored at least 83 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers.

Zhiyuan Peng, Ting-Ruen Wei, Tingyu Song, Yilun Zhao, Yi Fang

CoRR, July, 2025

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks.

Yilun Zhao, Kaiyan Zhang, Tiansheng Hu, Sihong Wu, Ronan Le Bras, Taira Anderson, Jonathan Bragg, Joseph Chee Chang, Jesse Dodge, Matt Latzke, Yixin Liu, Charles McGrady, Xiangru Tang, Zihang Wang, Chen Zhao, Hannaneh Hajishirzi, Doug Downey, Arman Cohan

CoRR, July, 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, Yupeng Cao, Haohang Li, Yangyang Yu, Xiaoyu Wang, Penglei Gao, Shengyuan Lin, Keyi Wang, Shanshan Yang, Yilun Zhao, Zhiwei Liu, Peng Lu, Jerry Huang, Suyuchen Wang, Triantafillos Papadopoulos, Polydoros Giannouris, Efstathia Soufleri, Nuo Chen, Guojun Xiong, Zhiyang Deng, Yijia Zhao, Mingquan Lin, Meikang Qiu, Kaleb E. Smith, Arman Cohan, Xiao-Yang Liu, Jimin Huang, Alejandro Lopez-Lira, Xi Chen, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou, Qianqian Xie

CoRR, June, 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

CoRR, June, 2025

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing.

Hongjun Liu, Yilun Zhao, Arman Cohan, Chen Zhao

CoRR, June, 2025

Table-R1: Inference-Time Scaling for Table Reasoning.

Zheyuan Yang, Lyuhao Chen, Arman Cohan, Yilun Zhao

CoRR, May, 2025

Judging with Many Minds: Do More Perspectives Mean Less Prejudice?

Chiyu Ma, Enpei Zhang, Yilun Zhao, Wenjun Liu, Yaning Jia, Peijun Qing, Lin Shi, Arman Cohan, Yujun Yan, Soroush Vosoughi

CoRR, May, 2025

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective.

Siyue Zhang, Yilun Zhao, Liyuan Geng, Arman Cohan, Anh Tuan Luu, Chen Zhao

CoRR, May, 2025

Z1: Efficient Test-time Scaling with Code.

Zhaojian Yu, Yinghao Wu, Yilun Zhao, Arman Cohan, Xiao-Ping Zhang

CoRR, April, 2025

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search.

Yunhai Hu, Yilun Zhao, Chen Zhao, Arman Cohan

CoRR, March, 2025

Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA.

Justice Ou, Tinglin Huang, Yilun Zhao, Ziyang Yu, Peiqing Lu, Rex Ying

CoRR, March, 2025

Survey on Evaluation of LLM-based Agents.

Asaf Yehudai, Lilach Eden, Alan Li, Guy Uziel, Yilun Zhao, Roy Bar-Haim, Arman Cohan, Michal Shmueli-Scheuer

CoRR, March, 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, Chenglin Wu, Wenqi Shi, Arman Cohan, Mark Gerstein

CoRR, March, 2025

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding.

Yilun Zhao, Lujing Xie, Haowei Zhang, Guo Gan, Yitao Long, Zhiyuan Hu, Tongyan Hu, Weiyuan Chen, Chuhan Li, Junyang Song, Zhijian Xu, Chengye Wang, Weifeng Pan, Ziyao Shangguan, Xiangru Tang, Zhenwen Liang, Yixin Liu, Chen Zhao, Arman Cohan

CoRR, January, 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, Yilun Zhao, Arman Cohan, Mark Gerstein

CoRR, January, 2025

Are Multimodal LLMs Robust Against Adversarial Perturbations? RoMMath: A Systematic Evaluation on Multimodal Math Reasoning.

Yilun Zhao, Guo Gan, Chen Zhao, Arman Cohan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval.

Tingyu Song, Guo Gan, Mingsheng Shang, Yilun Zhao

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ReIFE: Re-evaluating Instruction-Following Evaluation.

Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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, Yilun Zhao, Arman Cohan, Mark Gerstein

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models.

Ziyao Shangguan, Chuhan Li, Yuxuan Ding, Yanan Zheng, Yilun Zhao, Tesca Fitzgerald, Arman Cohan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding.

Yilun Zhao, Haowei Zhang, Lujing Xie, Tongyan Hu, Guo Gan, Yitao Long, Zhiyuan Hu, Weiyuan Chen, Chuhan Li, Zhijian Xu, Chengye Wang, Ziyao Shangguan, Zhenwen Liang, Yixin Liu, Chen Zhao, Arman Cohan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation Task.

Zhaojian Yu, Yilun Zhao, Arman Cohan, Xiaoping Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers.

Zhijian Xu, Yilun Zhao, Manasi Patwardhan, Lovekesh Vig, Arman Cohan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification.

Chengye Wang, Yifei Shen, Zexi Kuang, Arman Cohan, Yilun Zhao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos.

Tingyu Song, Tongyan Hu, Guo Gan, Yilun Zhao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Physics: Benchmarking Foundation Models on University-Level Physics Problem Solving.

Kaiyue Feng, Yilun Zhao, Yixin Liu, Tianyu Yang, Chen Zhao, John Sous, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers.

Yilun Zhao, Chengye Wang, Chuhan Li, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research.

Yilun Zhao, Weiyuan Chen, Zhijian Xu, Manasi Patwardhan, Chengye Wang, Yixin Liu, Lovekesh Vig, Arman Cohan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

<tt>L2CEval</tt>: Evaluating Language-to-Code Generation Capabilities of Large Language Models.

Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan

Trans. Assoc. Comput. Linguistics, 2024

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation.

Zhaojian Yu, Yilun Zhao, Arman Cohan, Xiao-Ping Zhang

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, Arman Cohan, Mark Gerstein

CoRR, 2024

FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents.

Yilun Zhao, Yitao Long, Yuru Jiang, Chengye Wang, Weiyuan Chen, Hongjun Liu, Yiming Zhang, Xiangru Tang, Chen Zhao, Arman Cohan

CoRR, 2024

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications.

Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, Shunian Chen, Yifei Zhang, Lihang Shen, Daniel S. Kim, Zhiwei Liu, Zheheng Luo, Yangyang Yu, Yupeng Cao, Zhiyang Deng, Zhiyuan Yao, Haohang Li, Duanyu Feng, Yongfu Dai, VijayaSai Somasundaram, Peng Lu, Yilun Zhao, Yitao Long, Guojun Xiong, Kaleb E. Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou

CoRR, 2024

Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation.

Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan

CoRR, 2024

Step-Back Profiling: Distilling User History for Personalized Scientific Writing.

Xiangru Tang, Xingyao Zhang, Yanjun Shao, Jie Wu, Yilun Zhao, Arman Cohan, Ming Gong, Dongmei Zhang, Mark Gerstein

CoRR, 2024

MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise.

Chunyuan Deng, Xiangru Tang, Yilun Zhao, Hanming Wang, Haoran Wang, Wangchunshu Zhou, Arman Cohan, Mark Gerstein

CoRR, 2024

Evaluating LLMs at Detecting Errors in LLM Responses.

Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao, Xiaoxin Lu, Nan Zhang, Yusen Zhang, Ranran Haoran Zhang, Sujeeth Reddy Vummanthala, Salika Dave, Shaobo Qin, Arman Cohan, Wenpeng Yin, Rui Zhang

CoRR, 2024

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science.

Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein

CoRR, 2024

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.

Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi

CoRR, 2024

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs.

Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei W. Koh, Bryan Hooi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?

Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering.

Linyong Nan, Ellen Zhang, Weijin Zou, Yilun Zhao, Wenfei Zhou, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.

Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Investigating Data Contamination in Modern Benchmarks for Large Language Models.

Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Revisiting Automated Evaluation for Long-form Table Question Answering.

Yuqi Wang, Lyuhao Chen, Songcheng Cai, Zhijian Xu, Yilun Zhao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems.

Linyong Nan, Weining Fang, Aylin Rasteh, Pouya Lahabi, Weijin Zou, Yilun Zhao, Arman Cohan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models.

Chuhan Li, Ziyao Shangguan, Yilun Zhao, Deyuan Li, Yixin Liu, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FOLIO: Natural Language Reasoning with First-Order Logic.

Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents.

Yilun Zhao, Yitao Long, Tintin Jiang, Chengye Wang, Weiyuan Chen, Hongjun Liu, Xiangru Tang, Yiming Zhang, Chen Zhao, Arman Cohan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.

Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation.

Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

KnowledgeFMath: A Knowledge-Intensive Math Reasoning Dataset in Finance Domains.

Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents.

Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning.

Yilun Zhao, Lyuhao Chen, Arman Cohan, Chen Zhao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.

Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein

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, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein

CoRR, 2023

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data.

Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan

CoRR, 2023

KnowledgeMath: Knowledge-Intensive Math Word Problem Solving in Finance Domains.

Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan

CoRR, 2023

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.

Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, 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, Wangchunshu Zhou, Arman Cohan, Mark Gerstein

CoRR, 2023

ODSum: New Benchmarks for Open Domain Multi-Document Summarization.

Yijie Zhou, Kejian Shi, Wencai Zhang, Yixin Liu, Yilun Zhao, Arman Cohan

CoRR, 2023

Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers.

Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan

CoRR, 2023

QTSumm: A New Benchmark for Query-Focused Table Summarization.

Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan, Dragomir Radev

CoRR, 2023

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies.

Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev

CoRR, 2023

Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies.

Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation.

Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios.

Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

QTSumm: Query-Focused Summarization over Tabular Data.

Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control.

Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Yu Flores, Dragomir Radev

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations.

Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

OpenRT: An Open-source Framework for Reasoning Over Tabular Data.

Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, Dragomir Radev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation.

Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Apparel-Invariant Feature Learning for Person Re-Identification.

Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua

IEEE Trans. Multim., 2022

FOLIO: Natural Language Reasoning with First-Order Logic.

Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev

CoRR, 2022

FinMath: Injecting a Tree-structured Solver for Question Answering over Financial Reports.

Chenying Li, Wenbo Ye, Yilun Zhao

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples.

Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

R2D2: Robust Data-to-Text with Replacement Detection.

Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir Radev

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data.

Yilun Zhao, Yunxiang Li, Chenying Li, Rui Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

MusiCoder: A Universal Music-Acoustic Encoder Based on Transformer.

Yilun Zhao, Jia Guo

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

2020

LAMP: Label Augmented Multimodal Pretraining.

Jia Guo, Chen Zhu, Yilun Zhao, Heda Wang, Yao Hu, Xiaofei He, Deng Cai

CoRR, 2020

Apparel-invariant Feature Learning for Apparel-changed Person Re-identification.

Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

CoRR, 2020

MusiCoder: A Universal Music-Acoustic Encoder Based on Transformers.

Yilun Zhao, Xinda Wu, Yuqing Ye, Jia Guo, Kejun Zhang

CoRR, 2020