Papers by Ritwik Raghav

    1 papers
    TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning (2025.acl-long)

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    Challenge: Existing benchmarks such as TravelPlanner and TravelPlann+ rely on semi-synthetic data and lack key real-world constraints.
    Approach: They propose a spatio-temporally coherent travel planning dataset incorporating real-world constraints, including public transit schedules, public events, varied attraction categories, and user personas for enhanced personalization.
    Outcome: The proposed dataset significantly improves meal scheduling, improving performance from 61% to 80% in the 7-day scenario.

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