Reliable Reasoning

Solving MaxSAT Problems from Natural Language Descriptions with LLMs and PySAT @ LLM-Solve @ FLoC 2026 featured image

Solving MaxSAT Problems from Natural Language Descriptions with LLMs and PySAT @ LLM-Solve @ FLoC 2026

In this talk, we will present a framework for solving MaxSAT problems expressed in natural language by combining large language models with the PySAT toolkit. We will show how LLMs …

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Pedro Orvalho
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Solving MaxSAT Problems from Natural Language Descriptions with LLMs and PySAT featured image

Solving MaxSAT Problems from Natural Language Descriptions with LLMs and PySAT

In this paper, we study a neuro-symbolic approach in which an LLM translates a natural language description of an optimisation problem into executable Python code using PySAT. The …

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Pedro Orvalho
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Neuro-Symbolic AI for Reliable Reasoning featured image

Neuro-Symbolic AI for Reliable Reasoning

Modern foundation models, including Large Language Models (LLMs) and Vision-Language Models (VLMs), have remarkable capabilities for understanding natural language, code, and …

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Pedro Orvalho
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