mlsanityData to 7 Oct 2026

BioMedArena: An Open-source Toolkit for Building and Evaluating Biomedical Deep Research Agents

arXiv 2605.06177 ↗First posted 7 May 2026cs.AIcited by 0

On the map: LLM agents and tool use → Medical and scientific domain agents

Abstract (arXiv)

Reproducing and comparing deep research agents today is hard: the same backbone evaluated on the same benchmark can report different accuracies across papers because the harness and tool registry differ, and integrating a new model into a comparable evaluation surface costs weeks of model-specific engineering. These are symptoms of a broader reproducibility problem in deep research agent research. Here, we introduce BioMedArena, an open-source toolkit that addresses this reproducibility gap and provides an arena for comparing deep research agents under a shared evaluation environment. BioMedArena decouples six layers of biomedical agent evaluation -- benchmark loading, tool exposure, tool selection, harness mode, context management, and scoring -- and exposes 166 biomedical benchmarks and 75 biomedical tools across 9 functional families. Adding a new model, benchmark, or tool can be accomplished with a few-line provider adapter. Beyond evaluation infrastructure, BioMedArena ships a library of high-quality reference components: 6 agent harnesses (including our proposed Mutual-Evolve) and 6 context-management strategies, any of which can be equipped on any backbone. Equipping these components substantially improves all 12 backbones; on each of 8 representative biomedical benchmarks, the best equipped backbone surpasses prior state-of-the-art (SOTA), by 15.01 percentage points on average. The toolkit, configurations, and per-task traces are available at https://github.com/AI-in-Health/BioMedArena.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Medical and scientific domain agents, one of 16 directions in LLM agents and tool use. Builds on 17 of its 40 references that are in the map. First posted on arXiv 7 May 2026.

Builds on

17 of 40 references.

Closest ancestors · 3

Same direction, newest first

  1. 2025BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology28 Feb
  2. 2025MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents24 Jan
  3. 2024AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments13 May

Other references · 14

  1. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  3. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  4. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
  5. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
  6. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
  7. 2025HealthBench: Evaluating Large Language Models Towards Improved Human Healthcited by 385
  8. 2025MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understandingcited by 212
  9. 2024LAB-Bench: Measuring Capabilities of Language Models for Biology Researchcited by 138
  10. 2024Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questionscited by 106
  11. 2025Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluationcited by 83
  12. 2025MedHELM: Holistic Evaluation of Large Language Models for Medical Taskscited by 60
2 more
  1. 2026OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Datacited by 32
  2. 2026MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verificationcited by 28

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics
  2. 2026BioDyad: Synchronize Biomedical Discovery and Machine Learning Engineering
  3. 2025BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research
  4. 2026Evaluating Agentic Bioinformatics through Function, Evidence, and Validation
  5. 2026BioResearcher: Scenario-Guided Multi-Agent for Translational Medicine
  6. 2026DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI
  7. 2025STELLA: Self-Evolving LLM Agent for Biomedical Research
  8. 2026MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome