Zehao Liu

Closing nearly 90% of performance gaps in low-bit quantized models with a compact repair codec could redefine efficiency in language model deployment.

Multi-turn jailbreaks exploit user intent in ways that traditional safety measures fail to detect, revealing a critical vulnerability in LLM interactions.

LLM defenses can achieve a 79% reduction in attack success rate against evolving multi-round attacks by using a stateful, multi-agent cooperative framework.