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Medical Question Answering

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Showing 51–100 of 139 papers

TitleStatusHype
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
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
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
Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization—0
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
An Empirical Evaluation of Large Language Models on Consumer Health Questions—0
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models—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
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
Fine-Tuning LLMs for Reliable Medical Question-Answering Services—0
MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical StructuresCode0
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models—0
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresCode0
AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow—0
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision MakingCode0
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases—0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications—0
Enhancing Healthcare LLM Trust with Atypical Presentations RecalibrationCode0
A Survey for Large Language Models in Biomedicine—0
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models—0
MultiMed: Massively Multimodal and Multitask Medical Understanding—0
Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question AnsweringCode0
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering—0
Uncertainty Estimation of Large Language Models in Medical Question Answering—0
SemioLLM: Assessing Large Language Models for Semiological Analysis in Epilepsy Research—0
70B-parameter large language models in Japanese medical question-answering—0
MedExQA: Medical Question Answering Benchmark with Multiple ExplanationsCode0
TCMD: A Traditional Chinese Medicine QA Dataset for Evaluating Large Language Models—0
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering—0
Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
Efficient Medical Question Answering with Knowledge-Augmented Question GenerationCode0
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