LAB-Bench

LAB-Bench is a benchmark from FutureHouse that measures how well AI systems handle practical tasks in biology research.

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LAB-Bench (Language Agent Biology Benchmark) is a benchmark released in 2024 by the research organization FutureHouse. It uses multiple-choice questions to test how well AI models and agents perform practical tasks that biology research requires.

Its task sets cover literature search and interpretation, reading figures and tables in papers, database lookups, manipulating DNA and protein sequences, troubleshooting lab protocols and planning cloning scenarios. The figure-interpretation set is known as FigQA.

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Six other charts showed the same shape over the past one to two years: LAB-Bench (literature, cloning, and protocol tasks), Matbench Discovery (how much faster…


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