Researchers have introduced scBench-Long, a new benchmark designed to evaluate AI agents' capabilities in complex, multi-step single-cell biology analysis. Unlike previous benchmarks that focused on broad knowledge or local tasks, scBench-Long requires agents to derive scientific conclusions from raw data without predefined methods. The benchmark includes 21 diverse evaluations, such as analyzing melanoma cell reactivity and COVID-19 pathology, with the top-performing model achieving only 25.4% success rate across 1,068 trajectories. AI
IMPACT This benchmark could drive the development of AI agents capable of more sophisticated scientific discovery in biology.
RANK_REASON The cluster describes a new benchmark for AI in scientific research, published on arXiv.
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