BABE: Biology Arena BEnchmark
On the map: LLM reasoning → Clinical and biomedical applications
Abstract (arXiv)
The rapid evolution of large language models (LLMs) has expanded their capabilities from basic dialogue to advanced scientific reasoning. However, existing benchmarks in biology often fail to assess a critical skill required of researchers: the ability to integrate experimental results with contextual knowledge to derive meaningful conclusions. To address this gap, we introduce BABE(Biology Arena BEnchmark), a comprehensive benchmark designed to evaluate the experimental reasoning capabilities of biological AI systems. BABE is uniquely constructed from peer-reviewed research papers and real-world biological studies, ensuring that tasks reflect the complexity and interdisciplinary nature of actual scientific inquiry. BABE challenges models to perform causal reasoning and cross-scale inference. Our benchmark provides a robust framework for assessing how well AI systems can reason like practicing scientists, offering a more authentic measure of their potential to contribute to biological research.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Clinical and biomedical applications, one of 17 directions in LLM reasoning. Builds on 9 of its 19 references that are in the map. First posted on arXiv 5 Feb 2026.
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9 of 19 references.
References · 9
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
- 2023GPQA: A Graduate-Level Google-Proof Q&A Benchmarkcited by 2,748
- 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
- 2025Humanity's Last Examcited by 467
- 2024OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AIcited by 70
- 2024Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Modelscited by 27
- 2024ProteinBench: A Holistic Evaluation of Protein Foundation Modelscited by 23
- 2024Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Modelscited by 9
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- 2026BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering
- 2026ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
- 2026BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific Reasoning in Physics-Grounded Biological Research
- 2025BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Science
- 2026BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
- 2025BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology