Does Scaling Reinforcement Learning Really Require More Training?
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New papers, breakthroughs and academic AI research
SLIM: Simplex-Lattice Interpolation Merging
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From Rules to Neural Graphs: Scalable Structured Prediction for Patent Prior Art Search
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From Pixels to Policy: A Multi-Agent System for Intervention and Geo-Spatial Decision Support
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GLoC-EHR: Evidence-Cited Clinical Reasoning over Global Context and Local EHR Events
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Looping Beyond Twice: A Scalable Recipe for Looped Mixture-of-Experts
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Memory-Guided B-Roll Generation from User Video Collections
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MapLightning: Online Vectorized HD Map Construction with 1D Map Tokens
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Have an LLM Write Your Anomaly Detector: Autonomous Discovery of Compact, Interpretable Detectors for Time Series
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Judgement in the Age of Jev: From Evaluation Scarcity to Evaluation Abundance
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Unsupervised Domain Adaptation for Enhanced Radiometer Image Precipitation Estimation using Conditional Flow Matching
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PROMO: Preference-conditioned Multi-Objective Reinforcement Learning for Quadrupedal Robots
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