Chaojun Nie

Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation

Large language models (LLMs) often exhibit limited performance on domain-specific tasks due to the natural disproportionate representation of specialized information in their training data and the static nature of these datasets. Knowledge scarcity and temporal lag create knowledge gaps for domain a