Papers by Anish Mulay

    1 papers
    Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents (2026.acl-long)

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    Challenge: Existing methods for analyzing information from multiple sources are often too complex or fail to capture nuanced preferences accurately.
    Approach: They propose an interactive decision-making framework that combines document-grounded reasoning with Bayesian preference inference.
    Outcome: The proposed approach outperforms general-purpose LLMs and existing decision-support systems in achieving up to 20% improvement in decision accuracy over strong baselines across domains.

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