NLP researcher and AI engineer focused on natural language generation, knowledge updating, and building intelligent systems.
About
Currently work at Wingene Data Science Inc. as AI (NLP) Engineer and Institute of Information Science, Academia Sinica as Research Assistant.
Yu-Ting Lee, a dedicated and innovative Natural Language Processing (NLP) researcher with a specialized focus on natural language generation and knowledge updating. Lee holds a distinguished academic background, having graduated from the Department of Computer Science at National Chengchi University.
The pinnacle of Lee's research endeavors can be seen through the master's thesis, which intricately explores the realm of full article updating, given non-updated information and triggered events. This work demonstrates a profound understanding of the dynamic interplay between static information and evolving knowledge.
Notably, Lee has also made a significant contribution to the academic community with work published at Conference on Information and Knowledge Management (CIKM) in 2022, reflecting a commitment to advancing the field of NLP through rigorous research and knowledge dissemination.
Programming
Deep Learning
OS & IDEs
Dev Tools
Projects
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
Event Triggered Article Updating System
Debugging the source code related to fine-tune LLaMA
A Multi-grained Dataset for News Event Triggered Knowledge Update
NLP related scripts
Hackathon - GeeksforGeeks Hiring Data Science: Scraping data from YouTube and Analyzing
Hackintosh on Dell XPS 13 9360
Specific-Aspect Summarization on News According to Social Sentiments
Sentiment Analysis models with multiple algorithms on movie reviews
Research
Master's Thesis - Dept. of Computer Science, National Chengchi University
Community
Education
Creative
Located at Hualien, Taiwan
Looking Ahead
More NLP ProjectsAWS Certified DevOps EngineerContribute to PyTorch Lightning ProjectsContribute to LLM ProjectsKaggle CompetitionsConnect