IEEE

Jailbreaking Black Box Large Language Models in Twenty Queries

Abstract: There is growing interest in ensuring that large language models (LLMs) align with human values. However, the alignment of such models is vulnerable to adversarial jailbreaks, which coax ...
GitHub

WhiteFox: White-box Compiler Fuzzing Empowered by Large Language Models

We are keeping improving the documents and adding more implementation details. Please stay tuned at README-DEV.md for more information. 🦊WhiteFox is the first white-box compiler fuzzer using LLMs ...
GitHub

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Large language models (LLMs) show excellent performance but are compute- and memory-intensive. Quantization can reduce memory and accelerate inference. However, for LLMs beyond 100 billion parameters, ...