Persistent evidence tracking improves language-agent performance on bioinformatics benchmarks

Bioinfoysis coordinates multiple agents through revisable plans, validated artifacts, and structured handoffs that preserve the provenance of intermediate results.

Independent
Qingyang Shao · Xin Zhang · Zhouyang Yuan · Xianying Chen · Yujia Xiang · Zihao Yang · +21 more
Research Digest··2 min read

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Bioinfoysis is a multi-agent harness that achieves 82.4% accuracy on BixBench using persistent artifact-grounded analysis runs.

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Bioinfoysis is a multi-agent system for long-horizon bioinformatics tasks. Unlike typical agents that produce final answers and discard intermediate steps, Bioinfoysis represents each request as a persistent, artifact-grounded run. A global planner creates an executable checklist, and after each worker step, structured handoffs bind results to specific agents and plan versions, preventing reuse of stale evidence. A controlled runtime validates generated scripts, tables, and figures before they enter downstream analysis.

Evaluated on BixBench and two LAB-Bench 2 tracks, Bioinfoysis achieved state-of-the-art accuracy of 82.4% on BixBench. Across four language models, average accuracy improved from 27.81% to 64.13% on SeqQA2 and from 3.13% to 31.25% on DbQA2. These results show that governing planning, memory, and evidence flow is critical for reliable bioinformatics automation.

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