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2025NeurIPS SEA Workshop

BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery

Kanishk Gandhi, Michael Y. Li, Lyle Goodyear et al.

What this work does

Lets a scientist agent query a hidden probabilistic world, revise a model and communicate an explanation to a novice whose predictions evaluate that explanation.

Connection to discovery

A useful decomposition of evidence acquisition, model quality and reusable communication, rather than scoring only a final answer.

Evidence

The body separates information-gain/regret measures, predictive error and communication-based model discovery across generative domains.

Scope and limitations

Information gain is defined relative to the supplied generative model and parameterization. Communication scores also depend on the receiving agent; these are simulated rather than prospective human or laboratory measurements.

THE RESEARCH CONVERSATION

Discussion & reactions

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