Fangrui Lv

Towards Unified and Effective Domain Generalization

2023 · arXiv (Cornell University)

We propose $\textbf{UniDG}$, a novel and $\textbf{Uni}$fied framework for $\textbf{D}$omain $\textbf{G}$eneralization that is capable of significantly enhancing the out-of-distribution generalization performance of foundation models regardless of their architectures. The core idea of UniDG is to …

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models

2024 · arXiv (Cornell University)

Physics problems constitute a significant aspect of reasoning, necessitating complicated reasoning ability and abundant physics knowledge. However, existing large language models (LLMs) frequently fail due to a lack of knowledge or incorrect knowledge application. To …