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NLP Optimization
State of NLP Optimization
3 papers · avg viability 3.7
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SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
(5.0)
Gradients Must Earn Their Influence: Unifying SFT with Generalized Entropic Objectives
(4.0)
Efficient Reasoning at Fixed Test-Time Cost via Length-Aware Attention Priors and Gain-Aware Training
(2.0)