Hi! I’m Chunyang Jiang, currently a second-year Ph.D. student at Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Wei Xue and Prof. Yike Guo. Before that, I got my Bachelor’s and Master’s degrees at Beihang University (also known as Beijing University of Aeronautics and Astronautics), supervised by Prof. Chunming Hu.

My current research interest locates at self-improvement and synthetic data methodologies for Large Language Models. I have authored several first-author research papers in such areas. I am also interested in opportunities to apply such methodologies to other disciplines, such as science and social science. I am always open to discussions and collaborations. Please feel free to contact me via email rubickjiang[dot]gmail[dot]com.

📖 Education

2024.09 - Now, PhD in Artificial Intelligence, Division of Emerging Interdisciplinary Areas, Hong Kong University of Science and Technology.
2021.09 - 2024.01, MPhil in Software Engineering, School of Computer Science and Engineering, Beihang University.
2017.09 - 2021.06, BSc in Computer Science, School of Computer Science and Engineering, Beihang University.

💻 Internships

2025.11 - 2026.04, Research Intern, Fermat Lab, Huawei, HongKong.
2023.05 - 2023.08, Applied Research Intern, Department of Tecent News, Tencent, Beijing.

📝 Selected Publications

Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Tasks. Chunyang Jiang, Yonggang Zhang, Yiyang Cai, Chi-Min Chan, Yulong Liu, Mingming Chen, Wei Xue, Yike Guo. ICLR 2026
Graceful Forgetting in Generative Language Models. Chunyang Jiang, Chi-min Chan, Yiyang Cai, Yulong Liu, Wei Xue, Yike Guo. EMNLP 2025
Importance weighting can help large language models self-improve. Chunyang Jiang, Chi-Min Chan, Wei Xue, Qifeng Liu, and Yike Guo. AAAI 2025
Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning. Chunyang Jiang, Tianchen Zhu, Haoyi Zhou, Chang Liu, Ting Deng, Chunming Hu, and Jianxin Li. EACL 2023
Benchmarking Fine-Grained Error Detection in Multimodal Reasoning. Chi-Min Chan, Han Zhu, Chunyang Jiang, Jiaming Ji, Juntao Dai, Wei Xue, Sirui Han, Yike Guo. ACL 2026
Modeling the Brain’s Grammar: ROI-Guided fMRI Pretraining for Transferable and Interpretable Vision Decoding. Yulong Liu, Hua Xu, Yiyang Cai, Chunyang Jiang, Sirui Han, Yike Guo. CVPR 2026
Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge. Yiyang Cai, Zhengkai Jiang, Yulong Liu, Chunyang Jiang, Wei Xue, Wenhan Luo, Yike Guo. NeurIPS 2025
Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA. Chi-Min Chan, Chunpu Xu, Junqi Zhu, Jiaming Ji, Donghai Hong, Pengcheng Wen, Chunyang Jiang, Zhen Ye, Yaodong Yang, Wei Xue, Sirui Han, Yike Guo. Findings of ACL 2025.
AIQoSer: Building the efficient Inference-QoS for AI Services. Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu. IWQoS 2022 (Best Paper Award)

🎖 Competition

2020.08 The second prize (5/72) in the National Undergraduate Computer System Capability Competition (Compiler Track).

💬 Services

Journal Reviwer, ACM TIST, IEEE/ACM TASLP, IEEE TIFS, Springer ML, ACM TKDD.
Conference Reviewer, AAAI 2025, CVPR 2026, ICML 2026.

💬 Teaching