Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL. - Yusen Zhang 001; Xiangyu Dong 002; Shuaichen Chang; Tao Yu 009; Peng Shi 010; Rui Zhang 037 (CoRR, 2020)

Logic-Consistency Text Generation from Semantic Parses. - Chang Shu; Yusen Zhang 001; Xiangyu Dong 002; Peng Shi 010; Tao Yu 009; Rui Zhang 037 (ACL/IJCNLP (Findings), 2021)

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. - Yusen Zhang 001; Ansong Ni; Tao Yu 009; Rui Zhang 037; Chenguang Zhu 001; Budhaditya Deb; Asli Celikyilmaz; Ahmed Hassan Awadallah; Dragomir R. Radev (EMNLP (Findings), 2021)

SummerTime: Text Summarization Toolkit for Non-experts. - Ansong Ni; Zhangir Azerbayev; Mutethia Mutuma; Troy Feng; Yusen Zhang 001; Tao Yu 009; Ahmed Hassan Awadallah; Dragomir R. Radev (EMNLP (Demos), 2021)

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. - Yusen Zhang 001; Ansong Ni; Ziming Mao; Chen Henry Wu; Chenguang Zhu 001; Budhaditya Deb; Ahmed Hassan Awadallah; Dragomir R. Radev; Rui Zhang 037 (ACL (1), 2022)

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. - Ziming Mao; Chen Henry Wu; Ansong Ni; Yusen Zhang 001; Rui Zhang 037; Tao Yu 009; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir R. Radev (ACL (1), 2022)

XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations. - Yusen Zhang 001; Jun Wang 122; Zhiguo Wang; Rui Zhang 037 (ACL (1), 2023)

FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. - Nan Zhang; Yusen Zhang 001; Wu Guo; Prasenjit Mitra; Rui Zhang 037 (EMNLP, 2023)

MACSum: Controllable Summarization with Mixed Attributes. - Yusen Zhang 001; Yang Liu 124; Ziyi Yang; Yuwei Fang; Yulong Chen 001; Dragomir Radev; Chenguang Zhu 001; Michael Zeng 001; Rui Zhang 037 (Trans. Assoc. Comput. Linguistics, 2023)

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)

Chain of Agents: Large Language Models Collaborating on Long-Context Tasks. - Yusen Zhang 001; Ruoxi Sun 002; Yanfei Chen; Tomas Pfister; Rui Zhang 037; Sercan Ö. Arik (NeurIPS, 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)

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. - Ryo Kamoi; Yusen Zhang 001; Nan Zhang; Jiawei Han 001; Rui Zhang 037 (CoRR, 2024)

AAAR-1.0: Assessing AI's Potential to Assist Research. - Renze Lou; Hanzi Xu; Sijia Wang; Jiangshu Du; Ryo Kamoi; Xiaoxin Lu; Jian Xie; Yuxuan Sun 002; Yusen Zhang 001; Jihyun Janice Ahn; Hongchao Fang; Zhuoyang Zou; et al. (CoRR, 2024)

Verbosity ≠ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models. - Yusen Zhang 001; Sarkar Snigdha Sarathi Das; Rui Zhang 037 (CoRR, 2024)

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information. - Ryo Kamoi; Yusen Zhang 001; Sarkar Snigdha Sarathi Das; Ranran Haoran Zhang; Rui Zhang 037 (CoRR, 2024)

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. - Ryo Kamoi; Yusen Zhang 001; Nan Zhang; Jiawei Han 001; Rui Zhang 037 (Trans. Assoc. Comput. Linguistics, 2024)

Enhance Multimodal Consistency and Coherence for Text-Image Plan Generation. - Xiaoxin Lu; Ranran Haoran Zhang; Yusen Zhang 001; Rui Zhang 037 (ACL (Findings), 2025)

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. - Sarkar Snigdha Sarathi Das; Ryo Kamoi; Bo Pang 004; Yusen Zhang 001; Caiming Xiong; Rui Zhang 037 (ICLR, 2025)

Coverage-based Fairness in Multi-document Summarization. - Haoyuan Li; Yusen Zhang 001; Rui Zhang 037; Snigdha Chaturvedi (NAACL (Long Papers), 2025)

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? - Yusen Zhang 001; Wenliang Zheng; Aashrith Madasu; Peng Shi 010; Ryo Kamoi; Hao Zhou; Zhuoyang Zou; Shu Zhao; Sarkar Snigdha Sarathi Das; Vipul Gupta; Xiaoxin Lu; Nan Zhang; et al. (CoRR, 2025)