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A novel degenerate dissipation mechanism allows viscosity in one phase to drive the dynamics of an inviscid phase in the low Mach number limit of two-phase flow.
Chain-of-thought context can be halved without sacrificing accuracy by using the geometric trajectory of hidden states to selectively compress exploratory reasoning steps into continuous latent tokens.
Label-free optical mapping reveals that electrically isolated regions can suppress interfacial charging signals, challenging assumptions about connectivity in electrochemical systems.
Group-Calibrated On-Policy Distillation boosts long-context reasoning performance by reconciling teacher guidance with verifier feedback, achieving up to a 12-point increase in benchmark scores.
Forget full attention: a hybrid sparse-linear attention model, MiniCPM-SALA, achieves 3.5x faster inference and supports 1M context length on a single GPU, all while maintaining comparable performance.