Assistant Professor, Kookmin University
4 papers at NeurIPS 2025
In this paper, we propose uncertainty calibration method, called CalibRAG, for the RAG guided decision-making scenario.
This paper introduces PANGEA, a method that leverages general-purpose data to generate diverse and high-quality synthetic data, improving LLM performance on domain-specific tasks.
We present a new continual leanring method that builds and reuses compact memory for logistic regression
