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cs.AI2025
PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities
Haoming Li, Zhaoliang Chen, Jonathan Zhang +1
Planning is central to agents and agentic AI. The ability to plan, e.g., creating travel itineraries within a budget, holds immense potential in both scientific and commercial cont…
cs.AI2024
Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic
Haoming Li, Zhaoliang Chen, Songyuan Liu +2
In this work, we provide a systematic analysis of how large language models (LLMs) contribute to solving planning problems. In particular, we examine how LLMs perform when they are…
cs.AI2024
LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning
Haoming Li, Zhaoliang Chen, Jonathan Zhang +1
Effective planning is essential for the success of any task, from organizing a vacation to routing autonomous vehicles and developing corporate strategies. It involves setting goal…