Research Internship

Berkeley Artificial Intelligence Research Lab, UC Berkeley (Supervisors: Prof. Dawn Song and Dr. Xuandong Zhao)

Undergraduate Research Apprentice, AI Safety Division
Oct 2024 - Dec 2024, Berkeley, USA

Main Jobs:

1. Reviewed 40+ cutting-edge research papers on LLM reasoning and data synthesis, identifying intersections for improving long-tail knowledge acquisition and reasoning trustworthiness.
2. Summarized and reported work on LLM post-training and test-time scaling, including CoT, PRM, DPO, MCTS, Self-Critic, Self-Consistency, and Rejection Sampling.

Network and Artificial Intelligence System Lab, CUHK-Shenzhen (Supervisor: Prof. Fangxin Wang)

Research Intern, Federated Learning Group
Dec 2023 - Aug 2024, Shenzhen, China

Main Jobs:

1. Designed zero-shot and in-context prompts for GPT-3.5-turbo to autonomously select appropriate multimodal tools through LangChain.
2. Improved prompt design for DeepSeek to strengthen its understanding and summarization of usage scenarios and parameter types for 10 tools, supporting Chain-of-Thought reasoning.
3. Designed experiments to study federated LLM learning for tool invocation, simulating data non-sharing by assigning different prompt parameters to each client.

Human-Crypto Society Laboratory, CUHK-Shenzhen (Presently Decentralized Computing Lab, University of Washington) (Supervisor: Prof. Wei Cai)

Research Intern, Decentralized Social Computing (Data Analysis) Group
Feb 2023 - Jul 2023, Shenzhen, China

Main Jobs:

1. Implemented a web scraper using Python, Selenium, and BeautifulSoup to collect CryptoRank data, overcome anti-scraping mechanisms, clean the results, and support the group’s research.
2. Visualized the collected data with Pyecharts.
3. Followed Web3 research and industry developments, summarized findings, and provided initial insights.