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20212025
most citedCodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models

33 citations · 48 across the 11 of their papers we have counts for

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cs.SE2025

Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand

Zhensu Sun, Chengran Yang, Xiaoning Du +3

Large language models (LLMs) have shown exceptional performance in code generation and understanding tasks, yet their high computational costs hinder broader adoption. One importan…

cs.SE2025

Extending Fill-In-the-Middle with Instructions for Steerable Code Completion

Zhensu Sun, Chengran Yang, Chao Peng +4

Code completion models often fail when the developer's intent is under-specified in the code context. To mitigate this, developers frequently use natural language comments to clari…