3 papers
cs.AI2026
From Next Token Prediction to (STRIPS) World Models
Carlos Núñez-Molina, Vicenç Gómez, Hector Geffner
We study whether next-token prediction can yield world models that truly support planning, in a controlled symbolic setting where propositional STRIPS action models are learned fro…
cs.SE2025
Towards a General Framework for HTN Modeling with LLMs
Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo +1
The use of Large Language Models (LLMs) for generating Automated Planning (AP) models has been widely explored; however, their application to Hierarchical Planning (HP) is still fa…
cs.AI2025
A Roadmap to Guide the Integration of LLMs in Hierarchical Planning
Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo +1
Recent advances in Large Language Models (LLMs) are fostering their integration into several reasoning-related fields, including Automated Planning (AP). However, their integration…