Physics-Informed Neural Plasticity: PDE Solvers That Reshape Themselves
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New papers, breakthroughs and academic AI research
Coding-Agent Benchmarks Should Match Their Users' Task Flows
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Differential Refresh Policies for Models Trained on Lagging Data Snapshots: From a Single-Age Equivalence Limit to an Optimal Per-Segment Allocation
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Constrained Diffusion for Data-Scarce Orbital Monte Carlo in Constellation Tasking
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Enabling Dynamic Computation in Looped LMs
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Towards Explaining Query Expansion Performance in Information Retrieval
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COPC: Coupled Off-Policy Correction for Asynchronous LLM Reinforcement Learning
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Hard, Yet Reducible: Controlled Forward Transfer for Synthetic Degradation Curation
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Lightweight and Versatile Learned Optimization by Recombination of Gradient History
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When does a network's training history predict its future learning better than its current state? Evidence from a response probe and a forecasting screen
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PAIR: Bridging Perception and Action in Vision-Language-Action Models
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Personalize at Test Time: Learning User Preferences for Image Generation
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