Sample-Grained Approximate Unlearning with Provable Per-Sample Bounds
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From Opinions to Commitments: Unstable Assignments and Silent Choices in AI-Mediated Proposals
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ALBI: LLM-Guided Inductive Logic Programming via Iterative Generate-Test-Constrain Refineme
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Predicting Void Points in Self-Occluding Forest Volumes
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SEEK-VAU: Towards Evidence-Faithful Video Anomaly Understanding via Agentic Search
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Aligning Language Models with General Preferences: An Empirical Study of Direct Nash Optimization
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Multi-Path Mamba Diffusion for 3D Point Cloud Semantic Scene Completion
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Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting
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Variational Learning with Lie Group Exponential Families
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PersonaFuse: A Situation-Aware Post-Training Framework for Adaptive LLM Behavior in Enterprise Tasks
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Development of tools for all-cause mortality prediction in heart failure patients: a systematic review
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SparseGraph-I2P: Consistency-Guided Hypothesis Selection for Efficient Image-to-Point-Cloud Registration
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