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MedQA

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Showing 51–80 of 80 papers

TitleStatusHype
Assessing The Potential Of Mid-Sized Language Models For Clinical QA—0
AutoMedPrompt: A New Framework for Optimizing LLM Medical Prompts Using Textual Gradients—0
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content—0
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering—0
Capabilities of Gemini Models in Medicine—0
Challenges of GPT-3-based Conversational Agents for Healthcare—0
CliniChat: A Multi-Source Knowledge-Driven Framework for Clinical Interview Dialogue Reconstruction and Evaluation—0
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models—0
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining—0
Eir: Thai Medical Large Language Models—0
Enabling On-Device Medical AI Assistants via Input-Driven Saliency Adaptation—0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
Evaluation of the phi-3-mini SLM for identification of texts related to medicine, health, and sports injuries—0
Second Opinion Matters: Towards Adaptive Clinical AI via the Consensus of Expert Model Ensemble—0
SM70: A Large Language Model for Medical Devices—0
Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework—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
Susceptibility of Large Language Models to User-Driven Factors in Medical Queries—0
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs—0
WiNGPT-3.0 Technical ReportCode0
MedMobile: A mobile-sized language model with expert-level clinical capabilitiesCode0
TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and VerificationCode0
LM^2: A Simple Society of Language Models Solves Complex ReasoningCode0
Language Models are Surprisingly Fragile to Drug Names in Biomedical BenchmarksCode0
MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical KnowledgeCode0
Med-REFL: Medical Reasoning Enhancement via Self-Corrected Fine-grained ReflectionCode0
IMAS: A Comprehensive Agentic Approach to Rural Healthcare DeliveryCode0
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answeringCode0
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving AgentsCode0
Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training (TXIT) Exam and Red Journal Gray Zone Cases: Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation OncologyCode0
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