Jiaming Ji (吉嘉铭)Phd Student in Peking UniversityAI Alignment AI Safety Large Models Email: jiamg.ji at gmail dot com [Google Scholar][GitHub] |
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About me
I’m a PhD student at the Institute of Artificial Intelligence, Peking University, advised by Prof. Yaodong Yang (both a good teacher and a helpful friend in my life). In parallel, I am also a visiting scholar at the Hong Kong University of Science and Technology, working under the guidance of renowned computer scientist Prof. Yike Guo, and collaborating closely with Sirui Han. My research direction are reinforcement learning, the safety and value alignment of large language models. Beyond academic research, I place strong emphasis on the practical deployment of large models. I have contributed to the open-source and real-world deployment of several large-scale models, including Baichuan2, the Hong Kong AI Model HKGAI-V1, the Pengcheng Brain model, and the medical triage model MedGuide. Notably, MedGuide has been deployed in hospitals and is actively supporting doctors and nurses in emergency triage—something I take great pride in beyond my academic achievements. In 2025, I was honored to be selected as an Apple Scholar in AI/ML, mentored by Rin Metcalf Susa and Natalie Mackraz. In 2024, I received the first batch of National Natural Science Foundation funding for the Youth Student Basic Research Project (Ph.D. track), as the sole awardee from Peking University in the field of intelligence. Prior to my Ph.D., I conducted research on neuromorphic computing and brain-computer interfaces with Prof. Gang Pan at Zhejiang University. I began my research journey focusing on safe reinforcement learning and won the championship in the NeurIPS 2022 MyoChallenge for robotic dexterous manipulation.
吉嘉铭，北京大学人工智能研究院博士生在读，导师为杨耀东老师，研究方向为强化学习、大模型的安全与价值对齐，在计算机顶级会议期刊发表口头、焦点论文等十余篇，谷歌学术引用累计2200余次，模型开源累计下载500W，GitHub开源累计获得2W+ Star。曾获首批国自然博士青年基金资助（2023年度北京大学智能学科唯一），苹果学者奖学金（Apple Scholar，全国仅两位），获北京大学博士最高研究奖“校长奖学金”， 首届中国电子学会—腾讯博士生科研激励计划（全国17人），获 NeurIPS‘22 机器人灵巧操作比赛冠军，研究成果及模型被OpenAI 、Meta引用，被MIT Tech Review报道。
News
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2025-05Four papers are accepted by ACL 2025 Main.
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2025-05SAE-V has been accepted as ICML 2025.
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2024-12Two papers are accepted by AAAI 2025, and Seq2Seq RM is awarded for an Oral presentation.
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2024-09Three Papers are accept by NeurIPS 2024. Aligner is awarded for an Oral and ProgressGym received a Spotlight.
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2024-09RL framework: OmniSafe is accepted by JMLR 2024 (The most popular Safe Reinforcement Learning framework).
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2024-06We released PKU-SafeRLHF dataset, the 2nd version of BeaverTails (The total number of downloads: 800K+).
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2024-01Two papers is accepted by ICLR 2024. Safe RLHF is awarded for a Spotlight.
Research Summary
Currently, i focus on AI Safety and Alignment.
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AI Alignment: Given the biases and discriminations that may exist in pre-training data, large models (LMs) may exhibit unintended behaviors. I am interested in alignment methods (e.g., Reinforcement Learning from human feedback (RLHF)) and post-hoc alignment methods to ensure the safety and trustworthy of LLMs.
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Theoretical Explanations and Mechanism Design for Alignment: Aligning these AI System (e.g. LLMs) effectively to ensure consistency with human intentions and values (though some views may question universal values) is a significant current challenge. I am particularly interested in ensuring the feasibility of these alignment methods in both theoretical and practical mechanisms.
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Applications (LM + X): I am interested in the application of large models in various domain, such as healthcare and education, and the potential impact of rapid industry development and iteration brought about by large models.
Honors
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2025-03Apple Scholars in AI/ML. 苹果学者，全国仅两位。
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2024-12CIE-Tencent Doctoral Research Incentive Project. 首届中国电子学会—腾讯博士生科研激励计划，全国17人，科研基金10万。
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2024-05Peking University President Scholarship, the highest doctoral research honor. 北京大学校长奖学金。
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2024-05National Natural Science Foundation for Ph.D. students (first batch; the sole recipient in the Peking University's intelligence field). 首批国家自然科学基金青年学生基础研究项目（博士研究生）项目资助，北大智能学科唯一。
Preprints
Publications (* denotes equal contribution, and † denotes the corresponding author)
2025
2024
2023
2022
Services
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Reviewer for ICLR 2025
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Reviewer for CVPR 2025
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Reviewer for NeurIPS 2023, 2024 (main track, db track), 2025.
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Reviewer for TMLR (Transactions on Machine Learning Research).
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Program Committee for AAAI 2025.
Teaching Assistant
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2024, 2025