SR-Ground: Image Quality Grounding for Super-Resolved Content
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Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models
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TensorCommitments: A Lightweight Verifiable Inference for Language Models
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Exponential quantum advantage in processing massive classical data
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Linear Programming Representations and Strongly Polynomial Algorithms for Robust Markov Decision Processes
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Spectral Tail Auxiliary Learning for AI-Generated Image Detection
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Faynt: Scaling and Optimizing Policies for Competitive Melee
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From Order to Distribution: An Exact Operator Framework for Forgetting in Continual Learning
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Muon meets Tamed Langevin: Momentum Preconditioning beyond Convex and gradient-Lipschitz Potentials
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MonoPhysics: Estimating Geometry, Appearance, and Physical Parameters from Monocular Videos
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Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning
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When Do Intrinsic Rewards Lead to Exploration?
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