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F. Cipcigan

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#machine learning Review Mar 2026

Measuring Progress in Reasoning Toward Mathematical Discovery with Automatic Verification

HorizonMath, a benchmark of 113 predominantly unsolved problems spanning eight domains in mathematics and the mathematical sciences, paired with an open-source evaluation framework for automated verification, is introduced, identifying six novel solutions to research problems that either resolve previously open questio...

Erik Y. Wang, S. Motwani, J. Roggeveen et al. · 6 citations
Preprint Jul 2026

Amortising Bayesian Experimental Design for Sequential Information Gathering in LLMs

Amortised Sequential Information Gathering (ASIG), a fine-tuning approach that amortises Bayesian Experimental Design into LLM policies via a multi-turn extension of Group Relative Policy Optimisation with an Expected Information Gain reward, is introduced.

Jakob Hartmann, James Harvey, Jhonathan Navott et al. · 0 citations

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