AdaPaD performs parallel low-rank adaptation with self-correcting deflation targets and dynamic per-module rank growth, yielding competitive GLUE and SQuAD results at 30% smaller average adapter size.
Neural Tangent Kernel: Convergence and Generalization in Neural Networks , booktitle =
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.LG 2years
2026 2verdicts
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Proposes HCLM framework formalizing entropy regularization via effective information force and geometric surrogates like log-determinant covariance, with experiments claiming stronger stable forces than softmax entropy.
citing papers explorer
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AdaPaD: Adaptive Parallel Deflation for PEFT with Self-Correcting Rank Discovery
AdaPaD performs parallel low-rank adaptation with self-correcting deflation targets and dynamic per-module rank growth, yielding competitive GLUE and SQuAD results at 30% smaller average adapter size.
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Human-Centered Learning Mechanics: A Dynamical Framework for Entropy-Regulated Representation Learning
Proposes HCLM framework formalizing entropy regularization via effective information force and geometric surrogates like log-determinant covariance, with experiments claiming stronger stable forces than softmax entropy.