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Giving a trained neural PDE surrogate denser sensor measurements at test time can actually degrade its predictions, exposing widespread distribution collapse under spatial observation shifts.
Single-pass neural operators can actually beat iterative diffusion solvers on sparse PDE recovery, provided latent-space prediction is structurally coupled with physical field decoding.
VideoResearcher achieves state-of-the-art performance among self-improving agents and approaches the human-designed upper bound, demonstrating a training-free paradigm for long-video understanding that expands agent capabilities through autonomous tool development while reducing costly manual engineering.
Screening precision for merchant risk control at WeChat Pay skyrockets from 92.0% to 97.5% with SeqLLM's innovative integration of behavioral-sequence modeling.
