Chen Zhao

According to our database, Chen Zhao authored at least 36 papers between 2016 and 2025.

Collaborative distances:

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

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

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

Hongjun Liu, Yilun Zhao, Arman Cohan, Chen Zhao

CoRR, June, 2025

Inter-Passage Verification for Multi-evidence Multi-answer QA.

Bingsen Chen, Shengjie Wang, Xi Ye, Chen Zhao

CoRR, June, 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

Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification.

Anqi Zhang, Yulin Chen, Jane Pan, Chen Zhao, Aurojit Panda, Jinyang Li, He He

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

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

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

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

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

Inter-Passage Verification for Multi-evidence Multi-answer QA.

Bingsen Chen, Shenji Wan, Xi Ye, Chen Zhao

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

2024

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs.

Angelica Chen, Jason Phang, Alicia Parrish, Vishakh Padmakumar, Chen Zhao, Samuel R. Bowman, Kyunghyun Cho

Trans. Mach. Learn. Res., 2024

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering.

Zhang Siyue, Xue Yuxiang, Zhang Yiming, Wu Xiaobao, Luu Anh Tuan, Chen Zhao

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

Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong.

Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber

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

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations.

Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen R. McKeown

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA.

Siyue Zhang, Anh Tuan Luu, Chen Zhao

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

Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World.

Guande Wu, Chen Zhao, Cláudio T. Silva, He He

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

Parallel Structures in Pre-training Data Yield In-Context Learning.

Yanda Chen, Chen Zhao, Zhou Yu, Kathleen R. McKeown, He He

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

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

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

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

CoRR, 2023

Mixture of Prompt Experts for Generalizable and Interpretable Question Answering.

Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber

CoRR, 2023

Getting MoRE out of Mixture of Language Model Reasoning Experts.

Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber

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

2022

Revisiting Calibration for Question Answering.

Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber

CoRR, 2022

Re-Examining Calibration: The Case of Question Answering.

Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation.

Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III

CoRR, 2021

Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval.

Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation.

Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

What's in a Name? Answer Equivalence For Open-Domain Question Answering.

Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Complex Factoid Question Answering with a Free-Text Knowledge Graph.

Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries.

Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2018

A dataset and baselines for sequential open-domain question answering.

Ahmed Elgohary, Chen Zhao, Jordan L. Boyd-Graber

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Atom Decomposition with Adaptive Basis Selection Strategy for Matrix Completion.

Yao Hu, Chen Zhao, Deng Cai, Xiaofei He, Xuelong Li

ACM Trans. Multim. Comput. Commun. Appl., 2016