ReasonSTL: Open-Source LLM Framework for Natural Language to STL Translation
Researchers have introduced ReasonSTL, a tool-augmented framework that adapts local open-source language models to translate natural language requirements into Signal Temporal Logic (STL) formulas. STL is a formal language used for specifying spatio-temporal constraints over real-valued signals, essential for verifying and synthesizing autonomous and cyber-physical systems. Manual STL specification requires expertise and does not scale, while using commercial LLM APIs incurs high token costs and risks exposing sensitive system requirements to third parties. ReasonSTL decomposes the translation process into explicit reasoning steps, leveraging tool augmentation to improve accuracy and privacy. The framework is designed for industrial deployment where data confidentiality is critical. The work was published on arXiv under identifier 2605.06483.
Key facts
- ReasonSTL is a tool-augmented framework for natural-language-to-STL translation.
- It adapts local open-source language models to avoid third-party API costs and privacy risks.
- STL is used for verification and synthesis of autonomous and cyber-physical systems.
- Manual STL specification requires temporal-logic expertise and does not scale.
- Commercial LLM APIs incur substantial token costs and may expose sensitive requirements.
- ReasonSTL decomposes translation into explicit reasoning steps.
- The framework aims to enable industrial deployment with data confidentiality.
- The paper is available on arXiv with ID 2605.06483.
Entities
Institutions
- arXiv