Xinyi Wu
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This paper systematically analyzes the resilience of LLM-enhanced search engines against black-hat SEO attacks, finding that while they block most traditional attacks, they remain vulnerable to sophisticated LLM-generated query manipulations.
This paper explains how Rotary Position Embeddings (RoPE) frequencies in transformer models correspond to the relative-distance structure of training data, and the implications for long-context generalization.
Papers
How Data Shapes RoPE Frequency Usage: From Positional Scale Matching to Length Generalization
This paper explains how Rotary Position Embeddings (RoPE) frequencies in transformer models correspond to the relative-distance structure of training data, and the implications for long-context genera…