SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization. - Yixin Liu 003; Pengfei Liu 003 (ACL/IJCNLP (2), 2021)

ExplainaBoard: An Explainable Leaderboard for NLP. - Pengfei Liu 003; Jinlan Fu; Yang Xiao; Weizhe Yuan; Shuaichen Chang; Junqi Dai; Yixin Liu 003; Zihuiwen Ye; Graham Neubig (ACL (demo), 2021)

RefSum: Refactoring Neural Summarization. - Yixin Liu 003; Zi-Yi Dou; Pengfei Liu 003 (NAACL-HLT, 2021)

On Learning Text Style Transfer with Direct Rewards. - Yixin Liu 003; Graham Neubig; John Wieting (NAACL-HLT, 2021)

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. - Swapnil Hingmire; Irene Li; Rena Kawamura; Benjamin Chen; Alexander R. Fabbri; Xiangru Tang; Yixin Liu 003; Thomas George; Tammy Liao; Wai Pan Wong; Vanessa Yan; Richard Zhou; et al. (CoRR, 2021)

BRIO: Bringing Order to Abstractive Summarization. - Yixin Liu 003; Pengfei Liu 003; Dragomir R. Radev; Graham Neubig (ACL (1), 2022)

DataLab: A Platform for Data Analysis and Intervention. - Yang Xiao; Jinlan Fu; Weizhe Yuan; Vijay Viswanathan 002; Zhoumianze Liu; Yixin Liu 003; Graham Neubig; Pengfei Liu 003 (ACL (demo), 2022)

Leveraging Locality in Abstractive Text Summarization. - Yixin Liu 003; Ansong Ni; Linyong Nan; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir Radev (EMNLP, 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)

Surfer100: Generating Surveys From Web Resources, Wikipedia-style. - Irene Li; Alexander R. Fabbri; Rina Kawamura; Yixin Liu 003; Xiangru Tang; Jaesung Tae; Chang Shen; Sally Ma; Tomoe Mizutani; Dragomir Radev (LREC, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 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)

Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. - Lining Zhang; João Sedoc; Simon Mille; Yufang Hou 001; Sebastian Gehrmann; Daniel Deutsch; Elizabeth Clark; Yixin Liu 003; Miruna Clinciu; Saad Mahamood; Khyathi Raghavi Chandu (CoRR, 2022)

On Improving Summarization Factual Consistency from Natural Language Feedback. - Yixin Liu 003; Budhaditya Deb; Milagro Teruel; Aaron Halfaker; Dragomir Radev; Ahmed Hassan Awadallah (ACL (1), 2023)

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)

A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization. - Lining Zhang; Simon Mille; Yufang Hou 001; Daniel Deutsch; Elizabeth Clark; Yixin Liu 003; Saad Mahamood; Sebastian Gehrmann; Miruna Clinciu; Khyathi Raghavi Chandu; João Sedoc (ACL (1), 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)

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)

On Learning to Summarize with Large Language Models as References. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Dragomir Radev; Arman Cohan (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)

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)

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)

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)

Rethinking Efficient Multilingual Text Summarization Meta-Evaluation. - Rilyn Han; Jiawen Chen; Yixin Liu 003; Arman Cohan (ACL (Findings), 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)

Calibrating Long-form Generations From Large Language Models. - Yukun Huang; Yixin Liu 003; Raghuveer Thirukovalluru; Arman Cohan; Bhuwan Dhingra (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)

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 Learning to Summarize with Large Language Models as References. - Yixin Liu 003; Kejian Shi; Katherine He; Longtian Ye; Alexander R. Fabbri; Pengfei Liu 003; Dragomir Radev; Arman Cohan (NAACL-HLT, 2024)

On the Role of Summary Content Units in Text Summarization Evaluation. - Marcel Nawrath; Agnieszka Nowak; Tristan Ratz; Danilo C. Walenta; Juri Opitz; Leonardo F. R. Ribeiro; João Sedoc; Daniel Deutsch; Simon Mille; Yixin Liu 003; Sebastian Gehrmann; Lining Zhang; et al. (NAACL (Short Papers), 2024)

Fair Abstractive Summarization of Diverse Perspectives. - Yusen Zhang 001; Nan Zhang; Yixin Liu 003; Alexander R. Fabbri; Junru Liu; Ryo Kamoi; Xiaoxin Lu; Caiming Xiong; Jieyu Zhao 001; Dragomir Radev; Kathleen R. McKeown; Rui Zhang 037 (NAACL-HLT, 2024)

COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences. - Yixin Liu 003; Argyris Oikonomou; Weiqiang Zheng; Yang Cai 001; Arman Cohan (CoRR, 2024)

Evaluating Mathematical Reasoning Beyond Accuracy. - Shijie Xia; Xuefeng Li 003; Yixin Liu 003; Tongshuang Wu; Pengfei Liu 003 (AAAI, 2025)

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)

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)

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)

Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference. - Mingqi Gao 002; Yixin Liu 003; Xinyu Hu 001; Xiaojun Wan 001; Jonathan Bragg; Arman Cohan (NAACL (Findings), 2025)

Understanding Reference Policies in Direct Preference Optimization. - Yixin Liu 003; Pengfei Liu 003; Arman Cohan (NAACL (Findings), 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)

SCIURus: Shared Circuits for Interpretable Uncertainty Representations in Language Models. - Carter Teplica; Yixin Liu 003; Arman Cohan; Tim G. J. Rudner (NAACL (Long Papers), 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)

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)