Xiuying Chen

Authorial expressiveness can be significantly enhanced by positioning writing styles within a unified five-dimensional space, leading to more personalized and interpretable text generation.

Residual accessibility in LLMs reveals a surprising correlation with recovery speed, challenging the notion that optimizing for audit scores leads to genuine knowledge deletion.

LLM judges are swayed by style, mistaking it for substance, but a new framework can significantly mitigate this bias.

Bias in LLMs can be traced to specific geometric structures in their hidden states, allowing for precise control over scoring outcomes.