864-CompBioBench: Agentic Systems in Computational Biology
The researchers introduce CompBioBench, a new evaluation framework containing 100 diverse tasks designed to test the capabilities of agentic AI systems in computational biology. Because biological data is often noisy and lacks simple answers, the benchmark uses synthetic data and scrambled metadata to create objective problems that require multi-step reasoning, coding, and tool use. Evaluation of leading models shows that high-performing systems like Codex CLI (GPT 5.4) and Claude Code (Opus 4.6) can achieve over 80% accuracy by autonomously navigating complex workflows. The study reveals…
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