LionMuon: Alternating Spectral and Sign Descent for Efficient Training
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Cross-Organizational SysML Model Integration: A Survey of Challenges and AI-Supported Tasks
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Losing the name before the box: measuring and repairing what narrow fine-tuning costs a detector outside its deployment vocabulary
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Teacher-Student Gaps Are Not Enough: Outcome-Guided On-Policy Distillation for Multi-Turn Autonomous Agents
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RAEGNet: Relation-Aware Evidence Graph Network for Harm-Aware Multimodal Fake News Detection
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Predictive Safety Curricula for Robust Legged Locomotion
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When Should a Satellite Estimate Be Changed? Stress-Testing Neural Corrections for Evapotranspiration
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Fisher-IRG: Fisher-Induced Local Invariant Representation Geometry across Language and Vision Models
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Scalable In-Context Reinforcement Learning with Recurrent Algorithm Distillation
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DRHeC: Differentiable Rendering for Hand-Eye Calibration with RGB-Based Gradients
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ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum
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OPFL: Optimistic Verification of Federated Learning via Empirical Boundary
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