activity
20142026
most citedOn the Planning Abilities of Large Language Models : A Critical Investigation

53 citations · 434 across the 45 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.AI2025★ 1 cited

On the Role of Domain Experts in Creating Effective Tutoring Systems

Sarath Sreedharan, Kelsey Sikes, Nathaniel Blanchard +3

The role that highly curated knowledge, provided by domain experts, could play in creating effective tutoring systems is often overlooked within the AI for education community. In…

cs.AI2025

Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game

Michael Katz, Harsha Kokel, Sarath Sreedharan

There is a broad consensus that the inability to form long-term plans is one of the key limitations of current foundational models and agents. However, the existing planning benchm…

cs.CR2025

SPEAR: Security Posture Evaluation using AI Planner-Reasoning on Attack-Connectivity Hypergraphs

Rakesh Podder, Turgay Caglar, Shadaab Kawnain Bashir +3

Graph-based frameworks are often used in network hardening to help a cyber defender understand how a network can be attacked and how the best defenses can be deployed. However, inc…

cs.AI2025

Make Planning Research Rigorous Again!

Michael Katz, Harsha Kokel, Christian Muise +2

In over sixty years since its inception, the field of planning has made significant contributions to both the theory and practice of building planning software that can solve a nev…

cs.AI2025

Inferring Implicit Goals Across Differing Task Models

Silvia Tulli, Stylianos Loukas Vasileiou, Mohamed Chetouani +1

One of the significant challenges to generating value-aligned behavior is to not only account for the specified user objectives but also any implicit or unspecified user requiremen…