MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes
cs.AI, cs.CL
Submitted: 2026-06-27
Updated: 2026-10-18
Comments: Camera-ready version accepted at NeurIPS 2026, Evaluations and Datasets Track. Code and data are available at https://huihuihenqiang.github.io/medevoeval/
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Retrieval-Augmented Generation for Large Language Models: A Survey
- MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
- MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
- Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
- Sequential Diagnosis with Language Models
- Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
- MedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent Collaboration
- Continual Learning for Large Language Models: A Survey
- Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models
- HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing Performance
- PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference
- TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models
- TrimTokenator-LC: Towards Adaptive Visual Token Pruning for Large Multimodal Models with Long Contexts
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