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Resume (English only)
Academic Achievements
- Publications: 'Length Desensitization in Directed Preference Optimization' (Sep 2024); Released a self-improving embodied conversational agent, OS-Copilot (Mar 2024); Published a survey paper titled 'A Survey of Neural Code Intelligence: Paradigms, Advances, and Beyond' (Mar 2024); 2 papers accepted at COLING 2024 (Mar 2024); 1 paper accepted at EMNLP 2023 (Oct 2023); 1 paper accepted at ACL 2023 (May 2023); 1 paper accepted at DASFAA 2023 (Jan 2023). Awards: Runner-up prize in the pre-trained language model application tuning algorithm category at the Guangdong-Hong Kong-Macau Greater Bay Area International Algorithm Competition, with a prize money of ¥200,000 (Feb 2023). Open Source Project: Viscacha, aiming to release a comprehensive Chinese information extraction dataset (May 2023).
Research Experience
- Alibaba (2021): Interned with the NLP group; Meituan (2022): Continued with the NLP group; Microsoft Xiaoice (Jan-Jun 2023): Focused on enhancing the reasoning capabilities of large language models; Ant Group (Jun-Oct 2023): Researched techniques to mitigate hallucinations in large language models; Shanghai AI Lab (Oct 2023-May 2024): Concentrated on developing AI Agents for operating systems; Meituan (Since Jul 2024): Full-time researcher.
Education
- PhD, East China Normal University (ECNU), School of Data Science and Engineering, Advisors: Ming Gao and Xiang Li.
Background
- Research Interests: Evaluation and Analysis of Large Language Models. Professional Field: Data Science and Engineering.
Miscellany
- Personal Interests: Working out, playing guitar, and reading.
Co-authors: 0 (list not available)