AI News

⚡ 3 minutes ago
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SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent Systems (arxiv.org)
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ANDES: Agent Native Data Evolving Synthesis Tool for Autonomous Instruction Alignment (arxiv.org)
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SIRIUS-SQL: Anchoring Multi-Candidate Text-to-SQL in Execution Feedback (arxiv.org)
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Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation (arxiv.org)
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On the Difficulty of Learning a Meta-network for Training Data Selection (arxiv.org)
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On the Recoverability of Causal Relations from Bulk Gene Expression Data (arxiv.org)
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Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models (arxiv.org)
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Interpretable Policy Distillation for Power Grid Topology Control (arxiv.org)
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Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction (arxiv.org)
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Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain (arxiv.org)
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Normalized Relevance Measure as a Unifying Framework to Explain Neural Network Latent Structures (arxiv.org)
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The Assistant as a Privileged Persona: A canonical reference in cross-persona self-recognition (arxiv.org)
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WildCat: Near-Linear Attention in Theory and Practice (arxiv.org)
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Collaborative and Efficient Fine-tuning: Leveraging Task Similarity (arxiv.org)
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Universal One-third Time Scaling in Learning Peaked Distributions (arxiv.org)
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Independent Component Discovery in Temporal Count Data (arxiv.org)
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Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients (arxiv.org)
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Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability (arxiv.org)
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Interpretable Self-Supervised Learning via Representer Landmarks and Nystr\"om Approximation (arxiv.org)
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Human in the Loop Adaptive Optimization for Improved Time Series Forecasting (arxiv.org)
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Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation (arxiv.org)
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Advancing Local Clustering on Graphs via Compressive Sensing: Semi-supervised and Unsupervised Methods (arxiv.org)
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Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models (arxiv.org)
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Targeted Data Fusion for Region-Specific Survival Effects in the AMP HIV Prevention Trials (arxiv.org)
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Towards Simple and Provable Parameter-Free Adaptive Gradient Methods (arxiv.org)
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Challenges in the calibration of tree-based models for imbalanced classification (arxiv.org)
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Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning (arxiv.org)
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Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures (arxiv.org)
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A Likelihood Approach for Inference of Population Heterogeneity in Particle Ensembles with Second-Order Langevin Dynamics (arxiv.org)
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Towards a General Intelligence and Interface for Wearable Health Data (arxiv.org)
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Near-Optimal and Tractable Estimation under Shift-Invariance (arxiv.org)
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Optimizing accuracy and diversity: a multi-task approach to forecast combinations (arxiv.org)
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Adaptive Querying with AI Persona Priors (arxiv.org)
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Beyond Procedure: Substantive Fairness in Conformal Prediction (arxiv.org)
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Rethinking Bregman Divergences in Kronecker-Factored Optimizers (arxiv.org)
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PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis (arxiv.org)
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HomeFlow: A Data Flywheel for Smart Home Agent Training with Verifiable Simulation (arxiv.org)
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Application of Algorithms in Energy-Efficient Design Platforms for Green Building (arxiv.org)
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Can LLM Agents Sustain Long-Horizon Organizational Dynamics? (arxiv.org)
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The Case for Model Science: Verify, Explore, Steer, Refine (arxiv.org)
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"Skill issues'': data-centric optimization of lakehouse agents (arxiv.org)
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Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts (arxiv.org)
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Emergent Ordinal Geometry in Transformers Trained on Local Comparisons (arxiv.org)
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DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation (arxiv.org)
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Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation (arxiv.org)
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Saliency-Aware Model Merging (arxiv.org)
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TabChange: Precise Attribute Changes in Tabular Data (arxiv.org)
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Torus Graphs for Large Scale Neural Phase Analysis (arxiv.org)
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Expected Value Alignment for Generative Reward Modeling in Formal Mathematics Verification (arxiv.org)
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Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches (arxiv.org)