NxN E-valuation: Hypothesis Certification via a Conformal CRT Null
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Systematic Hazard Sampling: Minimal-Variance Inference for Discrete Diffusion and Flow Models
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Live Interactive Training for Video Segmentation
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The Hidden Frame: How Large Language Models Impact Democratic Society
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SEPO: Evidence-Grounded Prompt Optimization via Structural Editing
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Improved Convergence of Large Stepsize Gradient Descent for Logistic Regression
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Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning
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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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