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Medical Question Answering

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Showing 51–100 of 139 papers

TitleStatusHype
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
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases—0
Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering—0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering—0
emrQA-msquad: A Medical Dataset Structured with the SQuAD V2.0 Framework, Enriched with emrQA Medical Information—0
Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models—0
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models—0
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering—0
ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room—0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
Exploiting Sentence Embedding for Medical Question Answering—0
Do Large Language Models have Shared Weaknesses in Medical Question Answering?—0
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs—0
Finding Similar Medical Questions from Question Answering Websites—0
Fine-Tuning LLMs for Reliable Medical Question-Answering Services—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
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models—0
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