The realization of autonomous scientific experimentation is currently limited by LLMs' struggle to grasp the strict procedural logic and accuracy required by biological protocols. To address this fundamental challenge, we present BioProBench, a comprehensive resource for procedural reasoning in biology. BioProBench is grounded in BioProCorpus, a foundational collection of 22,413 human-written protocols. From this corpus, we systematically constructed a dataset of 523,784 task instances, offering both a large-scale training resource and a rigorous benchmark with novel metrics. Evaluating 10 mainstream LLMs, we find that while general comprehension is high, performance drops significantly on tasks demanding deep reasoning, quantitative precision, and safety awareness. To demonstrate the value of BioProCorpus in mitigating these issues, we developed ProAgent, grounded in our corpus, ProAgent substantially advances the state-of-the-art. https://github.com/YuyangSunshine/bioprobench and https://huggingface.co/BioProBench.
BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Science
The realization of autonomous scientific experimentation is currently limited by LLMs' struggle to grasp the strict procedural logic and accuracy required by biological protocols.
- Preview

- Year
- 2025
- Venue
- arXiv 2025
- Authors
- 5
- Hosting
- Excerpt onlyCC-BY-NC-4.0
Cite
Notes
Only stored in your browser.
Attribution
- Abstract & full text
- arxiv.org/abs/2505.07889CC-BY-NC-4.0
- TL;DR
- Semantic Scholar