Author

Anish Kataria

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#artificial intelligence Preprint Oct 2026

Structure, Not Belief: Correlated Thompson Sampling from LLM-Derived Covariance in Combinatorial Semi-Bandits

Combinatorial Thompson sampling (CTS) draws independent posterior samples for every arm, so its exploration dynamics ignore any relation among arms. We study a minimal change to those dynamics: an LLM is queried once for a partition of the arms, the partition becomes a positive-definite correlation matrix $\Sigma$ thro...

Vikram Kakaria, Anish Kataria, Anany Kotawala · 0 citations

#artificial intelligence Preprint Sep 2026

Quantifying the Memorization-to-Generalization Transition: Scaling Laws and Phase Structure in Grokking

The memorization-to-generalization boundary is mapped across 384 configurations of two-hidden-layer MLPs on modular arithmetic, fitting a power-law scaling relation for generalization onset time and revealing that data complexity is the dominant driver of regime transition.

Anish Kataria · 1 citation