Hongzhan Chen

According to our database, Hongzhan Chen authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Unleashing Implicit Rewards: Prefix-Value Learning for Distribution-Level Optimization.

Shiping Gao, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Lifu Huang

CoRR, April, 2026

Stabilizing Policy Optimization via Logits Convexity.

Hongzhan Chen, Tao Yang, Yuhua Zhu, Shiping Gao, Xiaojun Quan, Ting Yao

CoRR, March, 2026

2025

Invariant Feature Purification Method for Domain Generalization of Rolling Bearing Fault Diagnosis.

Yining Xie, Guojun Yang, Hongzhan Chen, Zhichao Zhao, Xin Leng

IEEE Trans. Instrum. Meas., 2025

Discriminative Policy Optimization for Token-Level Reward Models.

Hongzhan Chen, Tao Yang, Shiping Gao, Ruijun Chen, Xiaojun Quan, Hongtao Tian, Ting Yao

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

ReAlign: Structured Revision for Small Language Model Alignment.

Ruijun Chen, Jiajian Guo, Hongzhan Chen, Fanqi Wan, Qifan Wang, Xiaojun Quan

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

2024

RoleInteract: Evaluating the Social Interaction of Role-Playing Agents.

Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Xing Gao, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang, Jingren Zhou

CoRR, 2024

Knowledge Distillation for Closed-Source Language Models.

Hongzhan Chen, Xiaojun Quan, Hehong Chen, Ming Yan, Ji Zhang

CoRR, 2024

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent.

Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang

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

SocialBench: Sociality Evaluation of Role-Playing Conversational Agents.

Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Gao Xing, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang

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

2023

MCC-KD: Multi-CoT Consistent Knowledge Distillation.

Hongzhan Chen, Siyue Wu, Xiaojun Quan, Rui Wang, Ming Yan, Ji Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression.

Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang

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