Publications

Nan Zhang, Eugene Kwek, Yusen Zhang, Ngoc-Hieu Nguyen, Prasenjit Mitra, Rui Zhang (2025). When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models. Preprint, 2025.

PDF Code

Ryo Kamoi, Yusen Zhang, Nan Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang (2025). Generalizable Process Reward Models via Formally Verified Training Data. Preprint, 2025.

PDF Code

Yusen Zhang, Wenliang Zheng, Aashrith Madasu, Peng Shi, Ryo Kamoi, Hao Zhou, Zhuoyang Zou, Shu Zhao, Sarkar Snigdha Sarathi Das, Vipul Gupta, Xiaoxin Lu, Nan Zhang, Ranran Haoran Zhang, Avitej Iyer, Renze Lou, Wenpeng Yin, Rui Zhang (2025). HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?. ICCV, 2025.

PDF Code Dataset Project

Priyanka Kargupta, Nan Zhang, Yunyi Zhang, Rui Zhang, Prasenjit Mitra, Jiawei Han (2025). TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora. ACL, 2025.

PDF

Nan Zhang, Prafulla Kumar Choubey, Alexander Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu (2025). SiReRAG: Indexing Similar and Related Information for Multihop Reasoning. ICLR, 2025.

PDF Code

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S Yu, Wenpeng Yin (2024). LLMs assist NLP Researchers: Critique Paper (Meta-) Reviewing. EMNLP, 2024.

PDF

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

PDF

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 (2024). Evaluating LLMs at Detecting Errors in LLM Responses. COLM, 2024.

PDF Code Dataset

Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen (2024). Pruning as a Domain-specific LLM Extractor. NAACL Findings, 2024.

PDF Code

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

PDF Code

Nan Zhang, Connor Heaton, Sean Timothy Okonsky, Prasenjit Mitra, Hilal Ezgi Toraman (2024). PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents. LREC-COLING, 2024.

PDF Code

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao (2024). Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. Preprint, 2024.

PDF

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

PDF Code

Nan Zhang, Shomir Wilson, Prasenjit Mitra (2022). STAPI: An Automatic Scraper for Extracting Iterative Title-Text Structure from Web Documents. LREC, 2022.

PDF Code