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Medical Question Answering

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Showing 26–50 of 139 papers

TitleStatusHype
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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