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Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback

Weida Liang et al.
arXiv CS · Papers
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deep-learningmachine-learningneural-networks
Language model systems repeatedly make test-time decisions by comparing similarity: they retrieve exemplars, rank candidates, and revise responses. Yet similarity is not unique: lexical, semantic, structural, and stylistic resemblance can point to different candidates, and the task-aligned notion ca
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