Constrained Diffusion for Data-Scarce Orbital Monte Carlo in Constellation Tasking
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New papers, breakthroughs and academic AI research
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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TopoCurve: Geometry-Aware Topology Reasoning via B\'ezier Curves in Autonomous Driving
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Not Every Call Needs a Frontier Model: Per-Call-Site Evaluation of Small Language Models in a Deployed Agentic Home-Automation System
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RippleCP: Measuring Counterfactual Checkpoint Advantage in Coding Agents
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