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Medical Question Answering

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Showing 51–100 of 139 papers

TitleStatusHype
Enhancing Healthcare LLM Trust with Atypical Presentations RecalibrationCode0
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QACode0
Towards Efficient Methods in Medical Question Answering using Knowledge Graph EmbeddingsCode0
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language ModelCode0
The Limited Impact of Medical Adaptation of Large Language and Vision-Language ModelsCode0
Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-SupervisionCode0
MRC-based Medical NER with Multi-task Learning and Multi-strategies—0
MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training—0
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access—0
MultiMed: Massively Multimodal and Multitask Medical Understanding—0
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models—0
Overview of TREC 2024 Biomedical Generative Retrieval (BioGen) Track—0
Overview of TREC 2024 Medical Video Question Answering (MedVidQA) Track—0
PEFT-MedAware: Large Language Model for Medical Awareness—0
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization—0
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?—0
Large Language Models are In-context Teachers for Knowledge Reasoning—0
SemioLLM: Assessing Large Language Models for Semiological Analysis in Epilepsy Research—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
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
Task Specific Pruning with LLM-Sieve: How Many Parameters Does Your Task Really Need?—0
TCMD: A Traditional Chinese Medicine QA Dataset for Evaluating Large Language Models—0
Towards Generalist Biomedical AI—0
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
Uncertainty Estimation of Large Language Models in Medical Question Answering—0
Unifying Corroborative and Contributive Attributions in Large Language Models—0
WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction—0
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs—0
What Would it Take to get Biomedical QA Systems into Practice?—0
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond—0
70B-parameter large language models in Japanese medical question-answering—0
A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis—0
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge—0
AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset—0
A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results—0
AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow—0
An Empirical Evaluation of Large Language Models on Consumer Health Questions—0
ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge—0
ARS\_NITK at MEDIQA 2019:Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System—0
A Survey for Large Language Models in Biomedicine—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
Challenges of GPT-3-based Conversational Agents for Healthcare—0
ClinBench-HPB: A Clinical Benchmark for Evaluating LLMs in Hepato-Pancreato-Biliary Diseases—0
Collaboration among Multiple Large Language Models for Medical Question Answering—0
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering—0
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