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This work proposes a curvature-conditioned multiscale momentum method with sphere constraints, which significantly accelerates Muon across diverse architectures (dense, MoE) and model sizes (0.12B--2.3B parameters).
This work presents a systematic study of scale vectors in LLMs from the perspectives of expressivity, optimization, and architectural structure, and proposes three lightweight and complementary improvements to scale vectors: branch-specific heterogeneity, improved placement around linear mappings, and magnitude-directi...
ReasFlow is introduced, an end-to-end autonomous agent system for reasoning-centric scientific discovery that operationalizes a collaborative paradigm where the human expert acts as Principal Investigator while the agent executes rigorous derivations as a capable graduate student.
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