3 accepted papers
To mitigate the hallucination and knowledge deficiency in large language models (LLMs), Knowledge Graph (KG)-based Retrieval-Augmented Generation (RAG) has shown promising potential by utilizing KGs as an external resource to enhance LLM reasoning.However, existing KG-RAG approaches struggle with a…
Detecting Out-of-Distribution (OOD) inputs is crucial for improving the reliability of deep neural networks in the real-world deployment. In this paper, inspired by the inherent distribution shift between in-distribution (ID) and OOD data, we propose a novel method that leverages optimal transport t
Deep learning has shown prominence in chest radiography interpretation, which is critical in evaluating various lung and chest diseases, such as pneumonia, emphysema, and tuberculosis. Deploying machine learning model, it is important to detect out-of-distribution (OOD) inputs, which are distinct fr…