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Found 3 papers, 1 papers with code
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code
As Large Language Models (LLMs) are increasingly used to automate code generation, it is often desired to know if the code is AI-generated and by which model, especially for purposes like protecting intellectual property (IP) in industry and preventing academic misconduct in education.
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
Large language models (LLMs) have shown remarkable progress in automated code generation.
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
We also benchmark several state-of-the-art neural models for code intelligence, and provide an open-source toolkit tailored for the rapid prototyping of deep-learning-based code intelligence models.
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