collaborators

5 papers

cs.LG2026

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

Vikram Kakaria, Anish Kataria, Anany Kotawala

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 th…

cs.LG2026

NumLeak: Public Numeric Benchmarks as Latent Labels in Foundation Models

Anany Kotawala

Public numeric benchmarks appear in pretraining, so an evaluation that conditions on a date may be measuring memorized recall rather than out-of-sample skill. We introduce NumLeak,…

cs.AI2026

Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM Agents

Anany Kotawala

Multi-component LLM agents assemble probabilistic claims from components that each see only part of a joint problem; the composition can violate basic probability axioms even when…

cs.CL2026

Resolution Diagnostics for Paired LLM Evaluation

Anany Kotawala

Across two public LLM leaderboards, many displayed pairwise rankings do not meet a conventional paired-test resolution target under the actual paired evaluation design: 11 of 40 Op…

cs.AI2026

GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models

Vartan Shadarevian, Kia Ghods, Alex Kenich +1

Fixed game suites for evaluating strategic reasoning in large language models (LLMs) saturate and are hard to keep free of contamination. We introduce GENSTRAT, a system for evalua…