Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning
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New papers, breakthroughs and academic AI research
Adapting prior-data fitted networks for tabular anomaly detection
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The Value of a Prompt: An LLM-Relative Kolmogorov-Complexity Approach
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SKILL-KD: Contrastive Skill Distillation for LLM Agents
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Learning What to Imitate: Entropy-Aware Distribution Mixing
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Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?
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Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking
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Dense Dynamic Scene Reconstruction and Camera Pose Estimation from Multi-View Videos
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CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence
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RA-CAD: Learning Post-Execution Critique for State-Aware Text-to-CAD Generation
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Towards Trustworthy Physical Intelligence: From Theory to Practice Across Life Cycle
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Dimensionality and Measurement Precision in HLE's Multiple-Choice Subset
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