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Medical Question Answering

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Showing 1–50 of 139 papers

TitleStatusHype
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents—0
Instruction Tuning and CoT Prompting for Contextual Medical QA with LLMs—0
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models—0
Med-REFL: Medical Reasoning Enhancement via Self-Corrected Fine-grained ReflectionCode0
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical ReasoningCode2
ClinBench-HPB: A Clinical Benchmark for Evaluating LLMs in Hepato-Pancreato-Biliary Diseases—0
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs—0
MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering—0
ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room—0
AMQA: An Adversarial Dataset for Benchmarking Bias of LLMs in Medicine and HealthcareCode0
Task Specific Pruning with LLM-Sieve: How Many Parameters Does Your Task Really Need?—0
Collaboration among Multiple Large Language Models for Medical Question Answering—0
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language ModelCode0
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs—0
Building a Human-Verified Clinical Reasoning Dataset via a Human LLM Hybrid Pipeline for Trustworthy Medical AI—0
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding—0
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QACode0
Walk the Talk? Measuring the Faithfulness of Large Language Model ExplanationsCode1
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs—0
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization—0
MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering—0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways—0
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical ReasoningCode2
Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework—0
Structured Outputs Enable General-Purpose LLMs to be Medical Experts—0
Addressing Overprescribing Challenges: Fine-Tuning Large Language Models for Medication Recommendation TasksCode0
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning—0
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization—0
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge—0
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?—0
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMsCode1
A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis—0
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMsCode0
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models—0
An Empirical Evaluation of Large Language Models on Consumer Health Questions—0
Overview of TREC 2024 Medical Video Question Answering (MedVidQA) Track—0
Overview of TREC 2024 Biomedical Generative Retrieval (BioGen) Track—0
AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset—0
A Benchmark for Long-Form Medical Question AnsweringCode0
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering—0
The Limited Impact of Medical Adaptation of Large Language and Vision-Language ModelsCode0
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?Code0
Diagnosing Medical Datasets with Training DynamicsCode0
Rationale-Guided Retrieval Augmented Generation for Medical Question AnsweringCode1
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models—0
Large Language Model Benchmarks in Medical Tasks—0
MedGo: A Chinese Medical Large Language Model—0
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