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...
| Authors | Serdar Kadioglu, Karthik Uppuluri, Akash Singirikonda |
|---|---|
| Primary category | cs.AI |
| Published | 14 April 2026 |
| Last updated at source | 27 May 2026 |
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