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  3. Mano: Restriking Manifold Optimization for LLM Training
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Mano: Restriking Manifold Optimization for LLM Training

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Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Mano: Restriking Manifold Optimization for LLM Training

PDF: https://arxiv.org/pdf/2601.23000v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Mano: Restriking Manifold Optimization for LLM Training

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Last verification: 2026-04-02T02:30:40.136Z

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References: 0

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Coverage: 17%

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Manifold-Aware Temporal Domain Generalization for Large Language Models
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Infeasibility Aware Large Language Models for Combinatorial Optimization
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Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization
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Competing Approach
Does Your Optimizer Care How You Normalize? Normalization-Optimizer Coupling in LLM Training
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Competing Approach
On Surprising Effectiveness of Masking Updates in Adaptive Optimizers
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  • LLM Training – Use Cases(use_case)

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