HeadRank lifts preference optimization into attention space via entropy-regularized head selection and distribution regularizers to sharpen discriminability for efficient listwise reranking.
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LLMs contain identifiable Preference Heads whose causal influence on outputs can be measured and amplified via differential steering to achieve interpretable personalization.
citing papers explorer
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HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads
HeadRank lifts preference optimization into attention space via entropy-regularized head selection and distribution regularizers to sharpen discriminability for efficient listwise reranking.
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Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization
LLMs contain identifiable Preference Heads whose causal influence on outputs can be measured and amplified via differential steering to achieve interpretable personalization.