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Backward-Free Estimation:Crucially, our closed-form derivation allows us to compute the exact gradient norm using only forward-pass statistics (residuals, embeddings) · arXiv 2758.9249

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Refining Multidimensional Video Reward Models via Disentangled Influence Functions

cs.LG · 2026-05-27 · unverdicted · novelty 6.0

Introduces dimension-disentangled influence estimation to prune or reweight training samples for MVRMs, outperforming global scalar filtering in alignment with ground truth.

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Refining Multidimensional Video Reward Models via Disentangled Influence Functions cs.LG · 2026-05-27 · unverdicted · none · ref 35
Introduces dimension-disentangled influence estimation to prune or reweight training samples for MVRMs, outperforming global scalar filtering in alignment with ground truth.

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