Yusen Zhang

According to our database, Yusen Zhang authored at least 27 papers between 2020 and 2026.

Collaborative distances:

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

2026

Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning.

Jihyun Janice Ahn, Ryo Kamoi, Berk Atil, Renze Lou, WonWoo Kang, Heehyun Park, Sarkar Snigdha Sarathi Das, Zhuoyang Zou, Xiaoxin Lu, Yusen Zhang, Asfahan Shah, Ridwanul Hasan Tanvir, Lingxiao Zhao, Hongxi Huang, Vignesh Venkatesh, Dianjun Lin, Hamid Shah, Wentao Wang, Zhanpeng Song, Joshua Reed Bassin, Dax Patel, Ishan Appareddy Agrahar, Sahil Pardasani, Xin Dong, Fatemeh Rahbari, Benjamin David Rishel, Soochan Andrew Lee, Yuv Boghani, Ali B. AlNaseeb, Pranav Suby, Seokhyeon Bae, Shreya Buddharaju, Damien Kula, Soumyadeep Das, Hanyang Frank Liu, Faye Mo, Wenpeng Yin

CoRR, March, 2026

QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals.

Nan Zhang, Eugene Kwek, Yusen Zhang, Muyu Pan, Suhang Wang, Prasenjit Mitra, Rui Zhang

CoRR, February, 2026

Agentic Data Environments.

Elaine Ang, Chenxi Huang, Georgios Liargkovas, Jerry Liu, Jinhui Liu, Nikos Pagonas, Charlie Summers, Haonan Wang, Jiakai Xu, Tianle Zhou, Yusen Zhang, Zhou Yu, Zhuo Zhang, Tianyi Peng, Kostis Kaffes, Eugene Wu

IEEE Data Eng. Bull., 2026

2025

Training Step-Level Reasoning Verifiers with Formal Verification Tools.

Ryo Kamoi, Yusen Zhang, Nan Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang

CoRR, May, 2025

When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks.

Nan Zhang, Yusen Zhang, Prasenjit Mitra, Rui Zhang

CoRR, April, 2025

Coverage-based Fairness in Multi-document Summarization.

Haoyuan Li, Yusen Zhang, Rui Zhang, Snigdha Chaturvedi

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

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, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers.

Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HRScene: How Far are VLMs from Effective High-Resolution Image Understanding?

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GreaterPrompt: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization.

Wenliang Zheng, Sarkar Snigdha Sarathi Das, Yusen Zhang, Rui Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

Enhance Multimodal Consistency and Coherence for Text-Image Plan Generation.

Xiaoxin Lu, Ranran Haoran Zhang, Yusen Zhang, Rui Zhang

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

2024

When Can LLMs <i>Actually</i> Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs.

Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang

Trans. Assoc. Comput. Linguistics, 2024

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information.

Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Rui Zhang

CoRR, 2024

Verbosity ≠ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models.

Yusen Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang

CoRR, 2024

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs.

Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang

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

Chain of Agents: Large Language Models Collaborating on Long-Context Tasks.

Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arik

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Fair Abstractive Summarization of Diverse Perspectives.

Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang

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

2023

MACSum: Controllable Summarization with Mixed Attributes.

Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang

Trans. Assoc. Comput. Linguistics, 2023

FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization.

Nan Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, Rui Zhang

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

XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations.

Yusen Zhang, Jun Wang, Zhiguo Wang, Rui Zhang

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

2022

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.

Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev

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

Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents.

Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang

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

2021

SummerTime: Text Summarization Toolkit for Non-experts.

Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev

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

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next.

Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Logic-Consistency Text Generation from Semantic Parses.

Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL.

Yusen Zhang, Xiangyu Dong, Shuaichen Chang, Tao Yu, Peng Shi, Rui Zhang

CoRR, 2020