Gen-PINNs: Generative Adversarial Physics Informed Neural Networks for solving partial differential equations
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Equal Path Cost, Unequal Output Effects: Understanding Perturbation Propagation in Diffusion Models
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Language Models for Page-Level Layout Decisions in E-commerce Search
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Environmental Feedback Modeling Matters: Rethinking Feedback Treatment in Agentic Hindsight Self-Distillation
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TypedBench: A Benchmark for Calibration, Framing Sensitivity, and Cost in System One Decision Models
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World-Model Policy Arbiter for Goal-Conditioned Reinforcement Learning
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TKCAM: Text and Keyframe to Camera Trajectory Generation
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Coefficient Calibration as Selection Pressure in Symbolic Regression
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AtomWorld-Mirror: Macro-Step World Modeling of Critical Evolution Backbones for Materials Dynamics
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CARE: Constrained Attention Refinement for Fine-Grained Visual Classification via Teacher-Student Distillation
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Estimating great expectations under autoregressive language models with potentials
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Who Verifies the Verifier? Co-Evolving Inspectable Graders with Self-Improving Agents
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