ASP Chef Chats with Large Language Models
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Demo Track. Pages 10989-10993.
https://doi.org/10.24963/ijcai.2025/1247
Keywords
- Knowledge Representation and Reasoning: KRR: Logic programming
- Knowledge Representation and Reasoning: KRR: Non-monotonic reasoning
- Natural Language Processing: NLP: Information extraction
Abstract
ASP Chef enriches Answer Set Programming (ASP) with the notion of recipe, that is, a sequence of operations on answer sets.
Recipes are designed and executed in modern browsers, and further improve the fast prototyping capabilities of ASP.
This paper introduces new operations designed to integrate Large Language Models (LLMs) in recipe, with the aim of combining the reasoning strength of ASP with the natural language capabilities of LLMs, to enable more interactive and adaptive problem-solving workflows.
In a nutshell, answer sets in input are transformed into prompts for LLMs, whose responses are processed to extract facts for subsequent operations within the recipe.
@inproceedings{ijcai2025p1247,
title = {ASP Chef Chats with Large Language Models},
author = {Alviano, Mario and Macrì, Pietro and Rodriguez Reiners, Luis Angel},
booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-25}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {James Kwok},
pages = {10989--10993},
year = {2025},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2025/1247},
url = {https://doi.org/10.24963/ijcai.2025/1247},
}
TY - CPAPER TI - ASP Chef Chats with Large Language Models AU - Alviano, Mario AU - Macrì, Pietro AU - Rodriguez Reiners, Luis Angel T2 - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2025 SP - 10989 EP - 10993 DO - 10.24963/ijcai.2025/1247 UR - https://doi.org/10.24963/ijcai.2025/1247 ER -Copied
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