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Kaimin Wang

2 accepted papers

2026

TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios

ICML 2026poster

As LLM-based agents are deployed in increasingly complex real-world settings, existing benchmarks underrepresent key challenges such as enforcing global constraints, coordinating multi-tool reasoning, and adapting to evolving user behavior over long, multi-turn interactions. To bridge this gap, we i…

Cited by 0SourceScholar
2025

TripTailor: A Real-World Benchmark for Personalized Travel Planning

ACL 2025finding

The continuous evolution and enhanced reasoning capabilities of large language models (LLMs) have elevated their role in complex tasks, notably in travel planning, where demand for personalized, high-quality itineraries is rising. However, current benchmarks often rely on unrealistic simulated data,…

Cited by 0SourcePDFScholar