2 papers
cs.CR2026
Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets
Yuan Xiao, Jiaming Wang, Yuchen Chen +8
The widespread availability of large-scale code datasets has accelerated the development of code large language models (CodeLLMs), raising concerns about unauthorized dataset usage…
cs.SE2024
ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation
Jinhao Dong, Jun Sun, Wenjie Zhang +2
Code generation techniques generate code snippets automatically based on the problem requirements in natural language. Recently, large language models (LLMs) achieve the SOTA perfo…