medical question answering

Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA ACL 2026 CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question Answering ACL 2026 Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering AAAI 2026 Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty EACL 2026 LAMP-MedQA: A Lightweight Multi-Agent System for Patient-Oriented Medical Question Answering ACL 2026 LLMs (Almost) Never Abstain Under Medical Uncertainty ACL 2026 MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains AAAI 2026 ReMedQA: Are We Done With Medical Multiple-Choice Benchmarks? EACL 2026 Small Models Exhibit Limited Answer Consistency in Repetition Trials of the Multiple-Choice MMLU-Redux and MedQA Benchmarks AAAI 2026 U-MIRAGE: Benchmarking Chain-of-Thought Reasoning for Urdu Medical QA EACL 2026 What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs EACL 2026 ACE-M3: Automatic Capability Evaluator for Multimodal Medical Models COLING 2025 AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset ACL 2025 Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge EMNLP 2025 AI Chatbots as Professional Service Agents: Developing a Professional Identity EMNLP 2025 Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions NAACL 2025 Can Large Language Models Accurately Generate Answer Keys for Health-related Questions? ACL 2025 DMIS Lab at ArchEHR-QA 2025: Evidence-Grounded Answer Generation for EHR-based QA via a Multi-Agent Framework ACL 2025 Do Large Language Models Know When Not to Answer in Medical QA? EMNLP 2025 Huatuo-26M, a Large-scale Chinese Medical QA Dataset NAACL 2025 HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses ACL 2025 LAMAR at ArchEHR-QA 2025: Clinically Aligned LLM-Generated Few-Shot Learning for EHR-Grounded Patient Question Answering ACL 2025 LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models EMNLP 2025 LLMs as Medical Safety Judges: Evaluating Alignment with Human Annotation in Patient-Facing QA ACL 2025 MedCite: Can Language Models Generate Verifiable Text for Medicine? ACL 2025