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Paper · arXiv

Text2Model: Modeling Copilots for Text-to-Model Translation

There is growing interest in leveraging large language models (LLMs) for text-to-model translation and optimization tasks. This paper aims to advance this line of research by introducing \textsc{Text2Model} and \textsc{Text2Zinc}. \textsc{Text2Model} is a suite of copilots based on several LLM strategies with varying complexity, along with an online leaderboard. \textsc{Text2Zinc} is a cross-domain dataset for capturing optimization and satisfaction problems specified in natural language, along with an interactive editor with built-in AI assistant. While there is an emerging literature on using LLMs for translating combinatorial problems into formal models, our work is the first attempt t...

AuthorsSerdar Kadioglu, Karthik Uppuluri, Akash Singirikonda
Primary categorycs.AI
Published14 April 2026
Last updated at source27 May 2026
cs.AI
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