Co-Evolving Agents: Learning from Failures as Hard Negatives
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New papers, breakthroughs and academic AI research
Unified Optimality Conditions for Stochastic Optimal Control in the Rough Path and It\^o Frameworks
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LAURA: Knowledge Distillation for Interpretable Ambiguous Clause Identification in Legal Contracts
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Retargeting Motions to Diverse Skeletons via Learnable Flattening
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Can Language Models Learn to Forecast Stock Prices
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Staying on Task: Testing the Foundations of Long-Horizon Agent Reliability
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Positive Ratings, Hidden Concerns: Employee Voice Disclosure in AI-Mediated Organizational Listening
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Mitigating Object Hallucination in Large Vision-Language Models via False Discovery Controlled Visual Data Splitting
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Does Gradient Conflict Predict the Understanding--Generation Trade-off? A Controlled Audit of Conflict-Metric Validity in Unified Multimodal Models
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Momentum-Coupled Rubric Adaptation for Detailed Image Captioning
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StereoGaussians: Feed-Forward 3D Gaussian Splatting from Stereo Images
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Aperture: Training-Free Multiscale Concept Bottlenecks for Remote Sensing
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