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Batu Guan

2 accepted papers

2024

CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code

EMNLP 2024finding

Large Language Models (LLMs) have achieved remarkable progress in code generation. It now becomes crucial to identify whether the code is AI-generated and to determine the specific model used, particularly for purposes such as protecting Intellectual Property (IP) in industry and preventing cheating…

2024

Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback

ACL 2024findings

Large Language Models (LLMs) have shown remarkable progress in automated code generation. Yet, LLM-generated code may contain errors in API usage, class, data structure, or missing project-specific information. As much of this project-specific context cannot fit into the prompts of LLMs, we must fin…