Quantization Effects on Tool-Failure Recovery Vary Across Prompts and Evaluation Designs
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Neuromotor Hierarchy Network: Physiological Inductive Biases for Robust Generalization in sEMG Decoding
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ThinkFuse: Trajectory-Aware Test-Time Fusion for Small Reasoning Models
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$\alpha$Transfer: Coefficient Transfer for Efficient Model Merging
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Adversarially Trained Linear Transformers Are Optimal Robust In-Context Learners for Gaussian Mixtures
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Sparse2comm: Towards Robust Cooperative 3D Object Detection
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Towards One-for-All Foundation Model for Attributed Graph Clustering
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Extending Pathwise Gradients to Discrete Random Variables via Finite-Order Relaxation
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Adaptive Mean Estimation by In-Context Learning: A Gradient-Flow Analysis
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MASKerade: Token-Routed Mask Experts for Dense-to-MoE Upcycling
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Exact Unlearning via Quantized Sufficient Statistics
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Conditional Flow Matching for Transport Between Markov Processes
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