Published papers: 'Completing A Systematic Review in Hours instead of Months with Interactive AI Agents', 'Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers', 'ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery', 'Multi-Task Learning in Natural Language Processing: An Overview', 'Mind2Web: Towards a Generalist Agent for the Web', 'Error Detection for Interactive Text-to-SQL Semantic Parsing', 'Text-to-SQL Error Correction with Language Models of Code', 'Bootstrapping a User-Centered Task-Oriented Dialogue System'.
Research Experience
Involved in multiple research projects as a Ph.D. student, including AutoSDT and InsightAgent.
Education
Ph.D. student at The Ohio State University, co-advised by Prof. Yu Su and Prof. Huan Sun; Bachelor's degree from Southern University of Science and Technology (SUSTech) in Shenzhen, China
Background
Research interest: natural language processing (NLP), especially large language models (LLMs) and AI agents. Focused on understanding language semantics and building more interpretable and trustworthy AI systems.