Timestamp
A timestamp for Code LLMs
PhD Student
A timestamp for Code LLMs
NLQF is a tool to filter query-appropriate comments for building high-quality code search datasets.
Source code for ISSTA'24 paper "AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation"
Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".
Code for "CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models"
Code for paper "PSCS: A Path-based Neural Model for SemanticCode Search"
Source code for ISSTA'24 paper "FDI: Attack Neural Code Generation Systems through User Feedback Channel"
Source code for "Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand".
Source code of the paper "When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference"
Code for paper "On the importance of Building High-quality Training Datasets for Neural Code Search"
A truly simple website template for academics
An LLM-driven runtime error handler