Introducing GeneBench-Pro
GeneBench-Pro is a new benchmark designed to assess how AI agents handle ambiguity and make critical judgments in computational biology research. It expands on previous benchmarks by offering harder, more realistic tasks across genomics, quantitative biology, and translational medicine, simulating the complex, iterative, and ambiguous nature of scientific inquiry.
Scientific research often involves navigating ambiguity and making complex judgments, rather than simply recalling facts or following predefined workflows. GeneBench-Pro is a new, challenging benchmark designed to evaluate how AI agents perform these higher-order judgments in computational biology.
This benchmark addresses a gap in current assessments by focusing on the system-level judgment calls crucial to real-world computational research, such as handling ambiguity, revising assumptions, and choosing appropriate analytical paths. It measures "research taste" – the chain of judgments that shape an analysis, from identifying supported questions to revising initial plans.
GeneBench-Pro includes 129 synthetically generated questions covering a wide range of computational biology settings. Each problem provides a realistic dataset, brief experimental context, and a target estimand. Models must explore data, select analytical approaches, and engage in iterative experimentation to arrive at a solution.
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