GPAgentBench-2K: Benchmarking Large Language Model Agents in Complex Clinical Action Space

arXiv:2608.30188 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-09-02

Code: https://github.com/jianing-lab/GPAgentBench

Terminology

• GRPO — 49× in this paper · explained in 6 episodes
• Accuracy — 44× in this paper · explained in 1 episode
• Action Space — 44× in this paper · explained in 1 episode
• Benchmark — 42× in this paper · explained in 2 episodes
• Benchmarking — 18× in this paper · explained in 3 episodes
• Abstention — 10× in this paper · explained in 1 episode
• Fidelity — 10× in this paper · explained in 2 episodes
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• General Practitioner — 6× in this paper
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• Core — 4× in this paper · explained in 2 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• LLM judge — 4× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Group Relative Policy Optimization — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Markov Decision Process — 2× in this paper
• Multi-Agent System — 2× in this paper · explained in 5 episodes
• Multi-agent Collaboration — 2× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 24 episodes
• Verification — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Action Masking — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 10 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes

Sources

• Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning
• Constrained Group Relative Policy Optimization
• Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
• PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments
• ART: Action-based Reasoning Task Benchmarking for Medical AI Agents
• MedMASLab: A Unified Orchestration Framework for Benchmarking Multimodal Medical Multi-Agent Systems
• AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments
• MedGemma Technical Report
• Qwen3 Technical Report
• MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks

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