IEEE

Large Language Model Based Code Completion is an Effective Genetic Improvement Mutation

Abstract: In this work, we introduce a novel large language model (LLM)-based masking mutation operator for Genetic Improvement (GI), which leverages code completion capabilities of large language ...
Wired

Inside OpenAI’s Race to Catch Up to Claude Code

Sam Altman sits with his legs pretzeled in an office chair, staring deeply into the ceiling. To be fair, the new OpenAI headquarters—a temple of glass and blond wood in San Francisco’s Mission ...
IEEE

Effective Code Membership Inference for Code Completion Models via Adversarial Prompts

Abstract: Membership inference attacks (MIAs) on code completion models offer an effective way to assess privacy risks by inferring whether a given code snippet was part of the training data. Existing ...