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New papers, breakthroughs and academic AI research
Foundations of Stochastic Lexical Calculus: Semantic Descent and Random Dynamics on Probability Simplices
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EPIG-Tree: Compute-Optimal Branching for Gradient-Efficient Reinforcement Learning
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QCPruner: Query-Conditioned Population Coverage for Visual Token Pruning
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Past, Future, All at Once: Mitigating Stability-Plasticity Dilemma via Post-hoc JANUS Rectification
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One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State
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Digital Twins for Opinion Dynamics: A Generative LLM Framework for Social Networks
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GRF-Recon: Global Ray-Field Optimization for Long-Sequence Feed-forward Reconstruction
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When AI Agents Commit: Cognitive Serializability Across Data, Evidence, Policy, and Authority
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To Copy or Not to Copy: Controlling Speculative Decoding via Intrinsic Model Signals
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An Event Preserving Velocity Invariant Representation for Event Cameras
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CellRFT: Reinforcement Fine-Tuning for Single-Cell Perturbation Modeling
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