5 papers
UTP-Bench: Uncertainty-aware Travel Planning Benchmark
Etcharla Revanth Rao, Priyanshu Karmakar, Shubhojit Mallick +3
Large Language Models (LLMs) have recently demonstrated strong capabilities in automated travel itinerary generation. However, real- world travel planning is inherently uncertain:…
TRIPPULSE: Multi-Agent Travel Planning with Review-Grounded Reasoning
Priyanshu Karmakar, Borru Vijay Sai, Shubhojit Mallick +3
Travel itinerary generation requires balancing strict spatio-temporal constraints with human preferences. Existing LLM-based planners mainly rely on structured attributes and pre-…
TripTide: A Benchmark for Adaptive Travel Planning under Disruptions
Priyanshu Karmakar, Soumyabrata Chaudhuri, Shubhojit Mallick +3
Recent efforts like TripCraft and TravelPlanner have advanced the use of Large Language Models ( LLMs) for personalized, constraint aware travel itinerary generation. Yet, real tra…
TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning
Soumyabrata Chaudhuri, Pranav Purkar, Ritwik Raghav +4
Recent advancements in probing Large Language Models (LLMs) have explored their latent potential as personalized travel planning agents, yet existing benchmarks remain limited in r…
Pruning Literals for Highly Efficient Explainability at Word Level
Rohan Kumar Yadav, Bimal Bhattarai, Abhik Jana +2
Designing an explainable model becomes crucial now for Natural Language Processing(NLP) since most of the state-of-the-art machine learning models provide a limited explanation for…