Medical LLM

Medical LLMs are large language models adapted for healthcare applications, primarily aiming to improve medical information access, analysis, and decision-making. Current research focuses on enhancing reasoning capabilities through techniques like chain-of-thought prompting and dynamic reasoning trajectory search, as well as addressing biases and ensuring safety through careful preference alignment and guardrail implementation. These advancements hold significant promise for improving healthcare efficiency and patient care, but ongoing work is crucial to address challenges like bias mitigation, hallucination reduction, and robust evaluation in real-world clinical settings.

Papers

December 19, 2024

Understanding the Dark Side of LLMs' Intrinsic Self-Correction
Qingjie Zhang, Han Qiu, Di Wang, Haoting Qian, Yiming Li, Tianwei Zhang, Minlie Huang
Medical LLM Self Correction Explanatory Feedback Prompt Bias
DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding
Medical LLM Long Context Key Value Cache KV Cache KV Cache Compression
LLMs as mediators: Can they diagnose conflicts accurately?
Özgecan Koçak (Emory University), Phanish Puranam (INSEAD), Afşar Yegin (Kadir Has University)
Medical LLM Conflict Classification Opinion Disagreement Research Ethic Observed Mediator
TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation
Jiatong Li, Junxian Li, Yunqing Liu, Dongzhan Zhou, Qing Li
Medical LLM Molecule Generation Molecule Optimization Memory Scene Graph
CitaLaw: Enhancing LLM with Citations in Legal Domain
Kepu Zhang, Weijie Yu, Sunhao Dai, Jun Xu
Medical LLM Large Corpus LLM Response Software Citation Syllogistic Reasoning Computational Legal

December 18, 2024

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs
David Restrepo, Chenwei Wu, Zhengxu Tang, Zitao Shuai, Thao Nguyen Minh Phan, Jun-En Ding, Cong-Tinh Dao, Jack Gallifant, Robyn Gayle Dychiao, Jose Carlo Artiaga, André Hiroshi Bando, Carolina Pelegrini Barbosa Gracitelli, Vincenz Ferrer, Leo Anthony Celi, Danielle Bitterman, Michael G Morley, Luis Filipe Nakayama
Large Language Model Medical LLM Natural Language Chain of Thought Low Resource Direct Assessment Multilingual Benchmark Multilingual Bias
LLM-SEM: A Sentiment-Based Student Engagement Metric Using LLMS for E-Learning Platforms
Ali Hamdi, Ahmed Abdelmoneim Mazrou, Mohamed Shaltout
Medical LLM Sentiment Polarity Student Engagement Learning Platform Sentiment Analysis Datasets Polarity Prediction
EvoWiki: Evaluating LLMs on Evolving Knowledge
Wei Tang, Yixin Cao, Yang Deng, Jiahao Ying, Bo Wang, Yizhe Yang, Yuyue Zhao, Qi Zhang, Xuanjing Huang, Yugang Jiang, Yong Liao
Large Language Model Medical LLM Knowledge Sharing
GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoE
Ting Bai, Yue Yu, Le Huang, Zenan Xu, Zhe Zhao, Chuan Shi
Medical LLM Mixture of Expert Multiple Expert Fine Tuning Approach LLM Graph

December 17, 2024

AI PERSONA: Towards Life-long Personalization of LLMs
Tiannan Wang, Meiling Tao, Ruoyu Fang, Huilin Wang, Shuai Wang, Yuchen Eleanor Jiang, Wangchunshu Zhou
Language Model Medical LLM Language Agent State of the Art LLM AI Persona LLM Personalization
Benchmarking and Understanding Compositional Relational Reasoning of LLMs
Ruikang Ni, Da Xiao, Qingye Meng, Xiangyu Li, Shihui Zheng, Hongliang Liang
Language Model Medical LLM Benchmark Platform Mechanistic Interpretability Associative Memory Compositional Reasoning
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference
Siyuan Wang, Dianyi Wang, Chengxing Zhou, Zejun Li, Zhihao Fan, Xuanjing Huang, Zhongyu Wei
High Efficiency Medical LLM Scientific Inference Large Vision Language Model Visual Quality Visual Instruction Tuning
Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks
Xunkai Li, Zhengyu Wu, Jiayi Wu, Hanwen Cui, Jishuo Jia, Rong-Hua Li, Guoren Wang
Graph Neural Network Full Model Medical LLM Raw Data Graph Learning New Task Graph Model Graph Level Task

December 16, 2024

Automated Generation of Massive Reasonable Empirical Theorems by Forward Reasoning Based on Strong Relevant Logics -- A Solution to the Problem of LLM Pre-training Data Exhaustion
Jingde Cheng
Language Model Medical LLM Complex Reasoning Automatic Generation
Advanced ingestion process powered by LLM parsing for RAG system
Arnau Perez, Xavier Vizcaino
Medical LLM Retrieval Augmented Generation
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion
Jianqing Zhu, Huang Huang, Zhihang Lin, Juhao Liang, Zhengyang Tang, Khalid Almubarak, Abdulmohsen Alharthik, Bang An, Juncai He, Xiangbo Wu, Fei Yu, Junying Chen, Zhuoheng Ma, Yuhao Du, He Zhang, Emad A. Alghamdi, Lian Zhang, Ruoyu Sun, Haizhou Li, Benyou Wang, Jinchao Xu
Medical LLM Arabic Speaker Prompt Expansion Language Learner Larger Vocabulary Vocabulary Expansion Arabic LLM Arabic Word
Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection
Ira Ceka, Feitong Qiao, Anik Dey, Aastha Valechia, Gail Kaiser, Baishakhi Ray
Large Language Model Data Detection Medical LLM Chain of Thought Latent Vulnerability Static Analysis Transparent Proxy Server Architecture Vulnerability Data Contrastive Demonstration
LLMs for Cold-Start Cutting Plane Separator Configuration
Connor Lawless, Yingxi Li, Anders Wikum, Madeleine Udell, Ellen Vitercik
Medical LLM Automatic Solver Cutting Plane Solver Configuration Fast Solver Mixed Integer Linear Program
Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice
Hannes Westermann, Jaromir Savelka
Language Model Medical LLM Image Processing Multimodal LLM Legal Document Information Access Vision Science JUSTICE
LLMs Can Simulate Standardized Patients via Agent Coevolution
Zhuoyun Du, Lujie Zheng, Renjun Hu, Yuyang Xu, Xiawei Li, Ying Sun, Wei Chen, Jian Wu, Haolei Cai, Haohao Ying
Medical LLM Human Like Virtual Doctor Agent Self Evolution

Medical LLM

Papers

Understanding the Dark Side of LLMs' Intrinsic Self-Correction

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs

LLMs as mediators: Can they diagnose conflicts accurately?

TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation

CitaLaw: Enhancing LLM with Citations in Legal Domain

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs

LLM-SEM: A Sentiment-Based Student Engagement Metric Using LLMS for E-Learning Platforms

EvoWiki: Evaluating LLMs on Evolving Knowledge

GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoE

AI PERSONA: Towards Life-long Personalization of LLMs

Benchmarking and Understanding Compositional Relational Reasoning of LLMs

Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference

Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks

Automated Generation of Massive Reasonable Empirical Theorems by Forward Reasoning Based on Strong Relevant Logics -- A Solution to the Problem of LLM Pre-training Data Exhaustion

Advanced ingestion process powered by LLM parsing for RAG system

Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection

LLMs for Cold-Start Cutting Plane Separator Configuration

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice

LLMs Can Simulate Standardized Patients via Agent Coevolution