Papers by Rishi N. Simhadri

    1 papers
    What Moves the Pareto Frontier in Tool-Using Agents? A Compute-Aware Study of ReAct Variants (2026.acl-srw)

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    Challenge: Tool-using LLM agents are typically compared by accuracy alone, despite deployments being constrained by inference cost.
    Approach: They propose a budgeted evaluation of common strategies for improving ReAct-style tool agents . they compare cumulative accuracy versus token budget on three benchmarks .
    Outcome: The proposed methods show that the most common improvement strategies increase inference cost.

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