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Ashwanth Krishnan

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#artificial intelligence Preprint Sep 2026

Active Causal Discovery Benchmark: Evaluating LLM Agents Under Budgeted Interventions

We introduce the Active Causal Discovery Benchmark (ACDB), an SCM-grounded environment for evaluating whether LLM agents recover causal graph structure from observations and budget-constrained hard interventions. ACDB pairs a linear-Gaussian world generator with a fixed observe-intervene-submit API and a three-layer sc...

Sagar Deb, Devam Shah, Ashwanth Krishnan · 0 citations
Jul 2026

STOCKTAKE: Measuring the Gap Between Perception and Action in LLM Agents with a Fair Oracle

STOCKTAKE is introduced, a 26-week supply-chain replenishment benchmark built as a factored partially observable Markov decision process with six hidden factor processes, designed so that a fair reference policy is computable: an exact Bayes filter per factor drives a rollout policy on the identical observation stream...

Sagar Deb, Ashwanth Krishnan · 0 citations

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