activity
20242026
most citedThought of Search: Planning with Language Models Through The Lens of Efficiency

4 citations · 7 across the 10 of their papers we have counts for

collaborators
Showing 2024 · cs.AIShow all

5 papers · 2 filters

cs.AI2024★ 1 cited

ACPBench: Reasoning about Action, Change, and Planning

Harsha Kokel, Michael Katz, Kavitha Srinivas +1

There is an increasing body of work using Large Language Models (LLMs) as agents for orchestrating workflows and making decisions in domains that require planning and multi-step re…

cs.AI2024

Automating Thought of Search: A Journey Towards Soundness and Completeness

Daniel Cao, Michael Katz, Harsha Kokel +2

Large language models (LLMs) are being used to solve planning problems that require search. Most of the literature uses LLMs as world models to define the search space, forgoing so…

cs.AI2024★ 4 cited

Thought of Search: Planning with Language Models Through The Lens of Efficiency

Michael Katz, Harsha Kokel, Kavitha Srinivas +1

Among the most important properties of algorithms investigated in computer science are soundness, completeness, and complexity. These properties, however, are rarely analyzed for t…

cs.AI2024★ 1 cited

Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning

Michael Katz, Junkyu Lee, Jungkoo Kang +1

The ability to generate multiple plans is central to using planning in real-life applications. Top-quality planners generate sets of such top-cost plans, allowing flexibility in de…

cs.AI2024

Unifying and Certifying Top-Quality Planning

Michael Katz, Junkyu Lee, Shirin Sohrabi

The growing utilization of planning tools in practical scenarios has sparked an interest in generating multiple high-quality plans. Consequently, a range of computational problems…