Search Results for author: Jeong Ryong Lee

Found 2 papers, 1 papers with code

Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales

no code implementations12 Dec 2023 Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Yongsik Sim, Beomseok Sohn, Dongha Lee, Jinyoung Yeo

Specifically, we address the clinical reasoning for disease diagnosis, where the LLM generates diagnostic rationales providing its insight on presented patient data and the reasoning path towards the diagnosis, namely Clinical Chain-of-Thought (Clinical CoT).

Reading Comprehension

Relevance-CAM: Your Model Already Knows Where To Look

1 code implementation CVPR 2021 Jeong Ryong Lee, Sewon Kim, Inyong Park, Taejoon Eo, Dosik Hwang

A common explanation method is Class Activation Mapping(CAM) based method where it is often used to understand the last layer of the convolutional neural networks popular in the field of Computer Vision.

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