Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It Teaches (First author), Under Review, 2025
Are Large Language Models Rational Investors? (First author), Findings of ACL, 2025
R3-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL (First author), Findings of EMNLP, 2024
SilverSight: A Multi-Task Chinese Financial Large Language Model Based on Adaptive Semantic Space Learning (First author), CCL / Journal of Chinese Information Processing, 2024
Research on Improving the Performance of Tri-ellipsoid Multi component Optical Sensors (First author), Laser & Optoelectronics Progress, 2023
Background
First-year Ph.D. candidate at the School of Computer Science and Technology, Fudan University
Conducting research at the Institute of FinTech at Fudan University and Shanghai Innovation Institute
Research interests: Scalable evaluation and evolution of LLMs, Fintech, AI for Art
Focuses on building an automated evaluation and evolution framework based on weak supervision to enable continuous self-improvement, cross-domain adaptability, and safe long-term evolution of LLMs
In Fintech, applies LLMs, graph models, and time-series models to intelligent investment advisory, text generation, and risk control
In AI for Art, explores how AI can collaborate with artists to enhance interactive artistic creation