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AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents

Kim, Dongki et al.
arXiv (All) · Papers
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As agents rapidly evolve, existing benchmarks can become saturated, limiting their ability to distinguish capabilities and reveal remaining failure modes. Particularly in scientific domains, constructing and updating benchmarks requires substantial time, labor, and domain expertise, making it diffic
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