I am a first-year Ph.D. student in the Department of SE&EM at The Chinese University of Hong Kong, supervised by Prof. Kam-Fai Wong and Prof. Bin Liang. Before this, I obtained my M.Eng. from Sun Yat-sen University, where I was supervised by Prof. Chengming Li and Prof. Min Yang. I also worked as a research intern at Tencent Inc, with the Hunyuan Machine Learning Platform and the Data Computing Platform.

My research interests are on natural language processing and large language models. Recent works center on agent post-training and agent harness. Beyond these areas, I previously explored hallucination alleviation and knowledge editing in LLMs.

• Agent Post-training: Reinforcement learning for multi-turn, tool-using agents — policy optimization (ACL'26), process reward/credit assignment (ACL'26, arXiv'26), and efficient tool-calling behavior (EMNLP'26), etc.
• Agent Harness: Self-evolving skills for agents, where skills are acquired, curated, and consolidated (arXiv'26). Self-evolving execution loops, where an agent refines its own tool-use workflow from past trajectories.

I'm always excited to discuss potential collaborations. Feel free to communicate with me if you are interested in connecting :)

📣News

• 2026.08: 🎉 One paper is accepted by EMNLP 2026.
• 2026.04: 🎉 Three papers are accepted by ACL 2026, one of them is seleceted as an Oral presentation.
• 2025.08: 🎉 One paper is accepted by EMNLP 2025.

📄Publications

* denotes co-first authors. See Google Scholar for the full list.

EMNLP 2026 Findings

Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement

Dingwei Chen, Zefang Zong, Zhipeng Ma, Leo Luo, Yang Li, Chengming Li, Peng Chen, Jie Jiang

PaperCode

Preprint

A²TGPO: Agentic Turn-Group Policy Optimization with Adaptive Turn-level Clipping

Dingwei Chen, Zefang Zong, Zhipeng Ma, Leo Luo, Yang Li, Chengming Li, Peng Chen, Jie Jiang

PaperCode

ACL 2026

AT²PO: Agentic Turn-based Policy Optimization via Tree Search

Zefang Zong*, Dingwei Chen*, Yang Li, Qi Yi, Bo Zhou, Chengming Li, Bo Qian, Peng Chen, Jie Jiang

PaperCode

ACL 2026 Oral

Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity

Feiteng Fang*, Dingwei Chen*, Xiang Huang*, Ting-En Lin, Yuchuan Wu, Xiong Liu, Jing Ye, Ziqiang Liu, Haonan Zhang, Hamid Alinejad-Rokny, Min Yang, Yongbin Li

PaperCode

EMNLP 2025

Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation

Dingwei Chen, Ziqiang Liu, Feiteng Fang, Chak Tou Leong, Shiwen Ni, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang, Chengming Li

PaperCode

ACL 2024

Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models

Shiwen Ni*, Dingwei Chen*, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang

Paper

Preprint

Lower Layers Matter: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused

Dingwei Chen, Feiteng Fang, Shiwen Ni, Feng Liang, Xiping Hu, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang, Chengming Li

Paper

Other Publications

• ACL 2026 Findings Finding RELIEF: Shaping Reasoning Behavior without Reasoning Supervision via Belief Engine Chak Tou Leong, Dingwei Chen, Heming Xia, Qingyu Yin, Sunbowen Lee, Jian Wang, Wenjie Li
• KDD 2026 CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction Zixuan Li, Binzong Geng, Jing Xiong, Yong He, Yuxuan Hu, Jian Chen, Dingwei Chen, Xiyu Chang, Ngai Wong, Liang Zhang, Linjian Mo, Chengming Li, Chuan Yuan, Zhenan Sun
• Preprint From Context to Skills: Can Language Models Learn from Context Skillfully? Shuzheng Si, Haozhe Zhao, Yu Lei, Qingyi Wang, Dingwei Chen, Zhitong Wang, Zhenhailong Wang, Kangyang Luo, Zheng Wang, Gang Chen, Fanchao Qi, Minjia Zhang, Maosong Sun

💼Experience

• 
  Tencent Hunyuan ML Platform & Data Computing Platform 2025.06 – 2026.06

  Research Intern, Natural Language Processing
• 
  DeepLang AI 2025.03 – 2025.05

  Algorithm Intern
• 
  Shenzhen Institute of Advanced Technology, CAS 2023.07 – 2026.06

  Research Assistant

🎓Education

• 
  The Chinese University of Hong Kong 2026.09 – present

  Ph.D. in Systems Engineering and Engineering Management

  Supervised by Prof. Kam-Fai Wong and Prof. Bin Liang
• 
  Sun Yat-sen University 2023.09 – 2026.06

  M.Eng. in Electronic Information

  Supervised by Prof. Chengming Li and Prof. Min Yang
• 
  Southwestern University of Finance and Economics 2019.09 – 2023.06

  B.Mgmt. in Information Management and Information Systems (Honors class)

  Supervised by Prof. Yu Zhao

🤝Academic Service

Conference Reviewer

• NLP Communities: Reviewer of ACL 2026/2025, EMNLP 2026/2025
• ML Communities: Reviewer of AAAI 2027/2026, NeurIPS 2026

Teaching Assistant