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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection Do Agents Dream of Root Shells? 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Solving the Petri-Nets to Statecharts Transformation Case with FunnyQT
2013-12-02 · via cs.SE updates on arXiv.org

FunnyQT is a model querying and model transformation library for the functional Lisp-dialect Clojure providing a rich and efficient querying and transformation API. This paper describes the FunnyQT solution to the TTC 2013 Petri-Nets to Statcharts Transformation Case. This solution has won the best overall solution award and the best efficiency award for this case.

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