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Abstract: This paper provides a comprehensive review of recent advances in machine learning (ML) technologies applied to code generation, with a focus on literature published between 2022 and 2024. We ...
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REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.
Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...