Chelsea Finn

This paper introduces DIRECT, a routing framework that allocates test-time compute per prompt to improve the success--cost Pareto frontier for embodied agents.

This paper presents a framework called CHORUS that enables decentralized multi-robot collaboration using a shared vision-language-action model.

This paper proposes a method called Flow Reversal Steering (FRS) to improve generalist policies in robots by inferring and invoking appropriate actions from their behavioral prior.

This paper introduces LLM-as-a-Verifier, a framework for fine-grained verification of LLMs using continuous scores, achieving state-of-the-art performance on various benchmarks.

This paper studies how scientists identify relevant prior research and develops a new dataset, ScholarCatalyst, to aid in this process.