2 papers
cs.LG2026
From Reasoning to Code: GRPO Optimization for Underrepresented Languages
Federico Pennino, Bianca Raimondi, Massimo Rondelli +2
Generating accurate and executable code using Large Language Models (LLMs) remains a significant challenge for underrepresented programming languages, such as Prolog and Lisp, due…
cs.CV2026
BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis
Massimo Rondelli, Francesco Pivi, Maurizio Gabbrielli
Automatic generation of executable Blender code from natural language remains challenging, with state-of-the-art LLMs producing frequent syntactic errors and geometrically inconsis…