collaborators

5 papers

cs.AI2026

Hierarchical Task Network Planning with LLM-Generated Heuristics

Felipe Meneguzzi, Alexandre Buchweitz, Augusto B. Corrêa +2

HTN planning is a variation of classical planning where, instead of searching for a linear sequence of actions, an algorithm decomposes higher-level tasks using a method library un…

cs.AI2026

Property-Guided LLM Program Synthesis for Planning

André G. Pereira, Augusto B. Corrêa, Jendrik Seipp

LLMs have shown impressive success in program synthesis, discovering programs that surpass prior solutions. However, these approaches rely on simple numeric scores to signal progra…

cs.AI2026

Frontier Large Language Models Rival State-of-the-Art Planners

Augusto B. Corrêa, André G. Pereira, Jendrik Seipp

A series of influential studies established that large language models cannot reliably solve even simple planning tasks. We show that the latest generation of frontier models overt…

cs.AI2025

Iterative Deployment Improves Planning Skills in LLMs

Augusto B. Corrêa, Yoav Gelberg, Luckeciano C. Melo +3

We show that iterative deployment of large language models (LLMs), each fine-tuned on data carefully curated by users from the previous models' deployment, can significantly change…

cs.AI2025

Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code

Augusto B. Corrêa, André G. Pereira, Jendrik Seipp

In recent years, large language models (LLMs) have shown remarkable capabilities in various artificial intelligence problems. However, they fail to plan reliably, even when prompte…