3 papers
cs.AI2026
Text2Model: Modeling Copilots for Text-to-Model Translation
Serdar Kadioglu, Karthik Uppuluri, Akash Singirikonda
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 intro…
cs.CL2026
Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc
Serdar Kadioglu, Karthik Uppuluri
Large language models excel at code generation for mainstream programming languages but struggle with rare, domain-specific languages such as MiniZinc, a constraint modeling langua…
cs.CL2025
Text2Zinc: A Cross-Domain Dataset for Modeling Optimization and Satisfaction Problems in MiniZinc
Akash Singirikonda, Serdar Kadioglu, Karthik Uppuluri
There is growing interest in utilizing large language models (LLMs) as co-pilots for combinatorial optimization and constraint programming tasks across various problems. This paper…