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    AutoSciBench aims to adapt scientific-agent benchmarks as capabilities evolve

    HuggingPapers describes the framework as automatically generating benchmarks and using solver feedback to refine them.

    Kenneth Huang @COLM2026KH
    1 Source, 2h ago, first seen 2h ago

    TLDR

    HuggingPapers describes AutoSciBench as a framework that automatically generates and iteratively refines benchmarks for scientific agents. It says solver feedback helps create harder tasks that adapt as agent capabilities evolve.

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    1 Source, first seen 2h ago

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    1 Source, first seen 2h ago

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    1 Source

    Kenneth Huang @COLM2026@windx0303RT @HuggingPapers: AutoSciBench A framework that automatically generates and iteratively refines scientific-agent benchmarks, using solver…2h

    1 Source

    Kenneth Huang @COLM2026@windx0303RT @HuggingPapers: AutoSciBench A framework that automatically generates and iteratively refines scientific-agent benchmarks, using solver…2h