Zhengmao Ye

By dynamically injecting frequency-aware n-gram features, X-GRAM achieves state-of-the-art accuracy with smaller embedding tables, offering a practical path to scaling memory-augmented architectures.

Vector databases, the bedrock of modern AI, are shockingly vulnerable: injecting just a few carefully crafted vectors can hijack nearly all retrieval results.

Code LLMs can achieve SOTA performance in agentic tasks by explicitly modeling the dynamic evolution of software logic across different training stages.