I am Weihao Zeng, a PhD student supervised by Prof. Junxian He at the Hong Kong University of Science and Technology starting in the fall of 2025.

My main focus is on the post-training aspect of LLMs, specifically including:

• Improving model reasoning capabilities using reinforcement learning (RL) / self-evolution techniques (SimpleRL, B-STaR)
• Exploring efficient data engineering methods for post-training (Deita, Auto Evol-Instruct)
• The application of LLMs in task-oriented dialogue systems (FutureTOD, Seen2UnSeen)

Feel free to email me for any form of academic cooperation: [email protected]

• 2025-03: We introduce SimpleRL-Zoo, a deep investigation of zero RL training across diverse model families and sizes! SimpleRL-Zoo Twitter
• 2025-01: Announce our latest effort on O/R-1 Style Model and Scalable Reinforcement Learning for LLM Reasoning! SimpleRL Twitter
• 2025-01: 🎉🎉 Our B-STaR have been accepted by ICLR 2025!
• 2024-09: 🎉🎉 Our Auto Evol-Instruct have been accepted by EMNLP 2024!
• 2024-01: 🎉🎉 Our Deita have been accepted by ICLR 2024!
• 2023-05: 🎉🎉 Two paper have been accepted by ACL 2023!

1. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

   Weihao Zeng*, Yuzhen Huang*, Qian Liu, Wei Liu, Keqing He, Zejun Ma, Junxian He

   Preprint SimpleRL-Zoo Github

2. 7B Model and 8K Examples: Emerging Reasoning with Reinforcement Learning is Both Effective and Efficient

   Weihao Zeng*, Yuzhen Huang*, Wei Liu, Keqing He, Qian Liu, Zejun Ma, Junxian He

   Preprint SimpleRL Twitter Github

3. B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

   Weihao Zeng*, Yuzhen Huang*, Lulu Zhao, Yijun Wang, Zifei Shan, Junxian He

   ICLR 2025 paper

4. FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue

   Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu

   ACL 2023 Main Conference paper

5. Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation

   Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu

   ACL 2023 Main Conference paper

6. What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

   Wei Liu*, Weihao Zeng*, Keqing He, Yong Jiang, Junxian He

   ICLR 2024 paper

7. Automatic Instruction Evolving for Large Language Models

   Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen

   EMNLP 2024 paper

Full Publications on Google Scholar

• April 2025, Qingke Talk, SimpleRL-Zoo and B-STaR: Improving reasoning performance and efficiency through reinforcement learning
• Mar 2025, Westlake University, SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.
• Feb 2025, Northwestern University, SimpleRL: Emerging Reasoning with Reinforcement Learning is Both Effective and Efficient.
• Feb 2025 Tiktok, SimpleRL: Emerging Reasoning with Reinforcement Learning is Both Effective and Efficient.
• Feb 2025, Huawei Noah's Ark Lab, SimpleRL: Emerging Reasoning with Reinforcement Learning is Both Effective and Efficient.

• National Scholarship in China (2019/2023)
• 2022-09: 🏆🏆 Achieved the 1st Award on SereTOD Challenge 2022 track 2, EMNLP 2022!
• 2021-08: 🏆🏆 Achieved the 4th Award on SMP 2021 Conversational AI Challenge!
• 2021-09: 🏆🏆 Achieved the 8th Place on CCIR 2021 Intelligent NLU Challenge!