Author

Abiel Malkani Talwar

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#machine learning Preprint Oct 2026

A Critical Look at Power Sampling when Test Time Sharpening LLMs

Reinforcement learning with verifiable rewards (RLVR) has substantially improved LLM reasoning, yet growing evidence suggests it mainly performs distribution sharpening: concentrating probability mass on reasoning paths the base model already produces. Recent work therefore seeks RLVR's gains without needing reward sig...

Abiel Malkani Talwar, Christopher Nemeth, Henry B. Moss · 0 citations

#machine learning Preprint Oct 2026

Example-driven Parametrisations for Bayesian Shape Optimisation

Bayesian optimisation is the natural tool for shape design when objectives are expensive and non-differentiable, but it needs a compact yet expressive parameterisation of the search space. Hand-crafting one is a complex endeavour requiring domain expertise, and often yields implicit infeasible regions, artificial bound...

Gabriel Diaz-Aylwin, Joseph Neighbor, Abiel Malkani Talwar et al. · 0 citations