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DUD: Decoupled Update Dynamics for Reliable Uncertainty Quantification in Large Language Models
arXiv cs.CL — Computation and Language
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What the source reports
Researchers propose DUD, a new method for uncertainty quantification in LLMs by decoupling attention and feed-forward hidden state updates.
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