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Listening to the Wise Few: Query-Key Alignment Unlocks Latent Correct Answers in Large Language Models

Tulchinskii, Eduard et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Large language models (LLMs) routinely fail to output the correct option in multiple-choice question answering (MCQA) while encoding the answer internally. We expose this latent knowledge via the Query--Key (QK) score, defined for an attention head as the inner product between the last-token query a
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