Zhenting Qi

According to our database, Zhenting Qi authored at least 30 papers between 2022 and 2026.

Collaborative distances:

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

2026

Scaling Reward Modeling without Human Supervision.

Jingxuan Fan, Yueying Li, Zhenting Qi, Dinghuai Zhang, Kianté Brantley, Sham M. Kakade, Hanlin Zhang

CoRR, March, 2026

MoCo: A One-Stop Shop for Model Collaboration Research.

Shangbin Feng, Yuyang Bai, Ziyuan Yang, Yike Wang, Zhaoxuan Tan, Jiajie Yan, Zhen Lei, Wenxuan Ding, Weijia Shi, Haojin Wang, Zhenting Qi, Yuru Jiang, Heng Wang, Chengsong Huang, Yu Fei, Jihan Yao, Yilun Du, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetkov

CoRR, January, 2026

DSGym: A Holistic Framework for Evaluating and Training Data Science Agents.

Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou

CoRR, January, 2026

2025

Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases.

Sherman Wong, Zhenting Qi, Zhaodong Wang, Nathan Hu, Samuel Lin, Jun Ge, Erwin Gao, Wenlin Chen, Yilun Du, Minlan Yu, Ying Zhang

CoRR, December, 2025

EvoLM: In Search of Lost Language Model Training Dynamics.

Zhenting Qi, Fan Nie, Alexandre Alahi, James Zou, Himabindu Lakkaraju, Yilun Du, Eric P. Xing, Sham M. Kakade, Hanlin Zhang

CoRR, June, 2025

Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering.

Guangtao Zeng, Maohao Shen, Delin Chen, Zhenting Qi, Subhro Das, Dan Gutfreund, David Cox, Gregory W. Wornell, Wei Lu, Zhang-Wei Hong, Chuang Gan

CoRR, May, 2025

Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision.

Eric Hanchen Jiang, Haozheng Luo, Shengyuan Pang, Xiaomin Li, Zhenting Qi, Hengli Li, Cheng-Fu Yang, Zongyu Lin, Xinfeng Li, Hao Xu, Kai-Wei Chang, Ying Nian Wu

CoRR, May, 2025

Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models.

Zidi Xiong, Shan Chen, Zhenting Qi, Himabindu Lakkaraju

CoRR, May, 2025

ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning.

Huandong Chang, Zicheng Ma, Mingyuan Ma, Zhenting Qi, Andrew Sabot, Hong Jiang, H. T. Kung

CoRR, April, 2025

Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models.

Martin Pawelczyk, Lillian Sun, Zhenting Qi, Aounon Kumar, Himabindu Lakkaraju

CoRR, January, 2025

Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.

Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan

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

Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems.

Zhenting Qi, Hanlin Zhang, Eric P. Xing, Sham M. Kakade, Himabindu Lakkaraju

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solver.

Zhenting Qi, Mingyuan Ma, Jiahang Xu, Li Lyna Zhang, Fan Yang, Mao Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Quantifying Generalization Complexity for Large Language Models.

Zhenting Qi, Hongyin Luo, Xuliang Huang, Zhuokai Zhao, Yibo Jiang, Xiangjun Fan, Himabindu Lakkaraju, James R. Glass

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MuTIS: Enhancing Reasoning Efficiency through Multi Turn Intervention Sampling in Reinforcement Learning.

Wenshuo Zhao, Haoxing Zhai, Xinyu Qiu, Zhenting Qi, Shuhe Li, Linchao Zhu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

Zhenting Qi, Mingyuan Ma, Jiahang Xu, Li Lyna Zhang, Fan Yang, Mao Yang

CoRR, 2024

Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge.

Weihua Du, Qiushi Lyu, Jiaming Shan, Zhenting Qi, Hongxin Zhang, Sunli Chen, Andi Peng, Tianmin Shu, Kwonjoon Lee, Behzad Dariush, Chuang Gan

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

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains.

Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan

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

FOLIO: Natural Language Reasoning with First-Order Logic.

Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

QTSumm: A New Benchmark for Query-Focused Table Summarization.

Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan, Dragomir Radev

CoRR, 2023

Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness.

Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi

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

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching.

Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi

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

QTSumm: Query-Focused Summarization over Tabular Data.

Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan

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

LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control.

Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Yu Flores, Dragomir Radev

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 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

OpenRT: An Open-source Framework for Reasoning Over Tabular Data.

Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, Dragomir Radev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023

SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels.

Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), 2023

2022

FOLIO: Natural Language Reasoning with First-Order Logic.

Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev

CoRR, 2022

Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model.

Zhenting Qi, Ruike Zhu, Zheyu Fu, Wenhao Chai, Volodymyr V. Kindratenko

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples.

Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022