Research Project, Game Development, 2024
Retainer is an LLM-based agent for game development that enables natural language interaction to assist developers of all skill levels in game development and encapsulation.
Industry Research, Microsoft, Data Knowledge and Intelligence Group, 2024
Our work focused on improving Microsoft products’ accessibility through intelligent algorithms for automated detection and resolution of accessibility issues, along with establishing relevant evaluation frameworks.
Lab, Lab, 2023
This project mainly relies on the technical route of prompt learning and partial parameter fine-tuning of open-source large language models to realize a large-model intelligent assistant in the legal vertical field for professionals and the public, targeting legal documents, Q&A and legal data. I am responsible for framework design, deployment fine-tuning, evaluation session and interaction design. Check our project’s code, dataset and checkpoints in github.
