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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New papers, breakthroughs and academic AI research
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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Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention
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PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs
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Phoneme-Guided Initialization for LLM-based Speech Recognition
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Talking with Language Models
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KASALv2: Fully Automatic 3D Rotational Symmetry Classification and Axis Localization
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WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation
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