AI News

SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent Systems (arxiv.org)

ANDES: Agent Native Data Evolving Synthesis Tool for Autonomous Instruction Alignment (arxiv.org)

SIRIUS-SQL: Anchoring Multi-Candidate Text-to-SQL in Execution Feedback (arxiv.org)

Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation (arxiv.org)

On the Difficulty of Learning a Meta-network for Training Data Selection (arxiv.org)

On the Recoverability of Causal Relations from Bulk Gene Expression Data (arxiv.org)

Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models (arxiv.org)

Interpretable Policy Distillation for Power Grid Topology Control (arxiv.org)

Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction (arxiv.org)

Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain (arxiv.org)

Normalized Relevance Measure as a Unifying Framework to Explain Neural Network Latent Structures (arxiv.org)

The Assistant as a Privileged Persona: A canonical reference in cross-persona self-recognition (arxiv.org)

WildCat: Near-Linear Attention in Theory and Practice (arxiv.org)

Collaborative and Efficient Fine-tuning: Leveraging Task Similarity (arxiv.org)

Universal One-third Time Scaling in Learning Peaked Distributions (arxiv.org)

Independent Component Discovery in Temporal Count Data (arxiv.org)

Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients (arxiv.org)

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability (arxiv.org)

Interpretable Self-Supervised Learning via Representer Landmarks and Nystr\"om Approximation (arxiv.org)

Human in the Loop Adaptive Optimization for Improved Time Series Forecasting (arxiv.org)

Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation (arxiv.org)

Advancing Local Clustering on Graphs via Compressive Sensing: Semi-supervised and Unsupervised Methods (arxiv.org)

Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models (arxiv.org)

Targeted Data Fusion for Region-Specific Survival Effects in the AMP HIV Prevention Trials (arxiv.org)

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods (arxiv.org)

Challenges in the calibration of tree-based models for imbalanced classification (arxiv.org)

Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning (arxiv.org)

Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures (arxiv.org)

A Likelihood Approach for Inference of Population Heterogeneity in Particle Ensembles with Second-Order Langevin Dynamics (arxiv.org)

Towards a General Intelligence and Interface for Wearable Health Data (arxiv.org)

Near-Optimal and Tractable Estimation under Shift-Invariance (arxiv.org)

Optimizing accuracy and diversity: a multi-task approach to forecast combinations (arxiv.org)

Adaptive Querying with AI Persona Priors (arxiv.org)

Beyond Procedure: Substantive Fairness in Conformal Prediction (arxiv.org)

Rethinking Bregman Divergences in Kronecker-Factored Optimizers (arxiv.org)

PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis (arxiv.org)

HomeFlow: A Data Flywheel for Smart Home Agent Training with Verifiable Simulation (arxiv.org)

Application of Algorithms in Energy-Efficient Design Platforms for Green Building (arxiv.org)

Can LLM Agents Sustain Long-Horizon Organizational Dynamics? (arxiv.org)

The Case for Model Science: Verify, Explore, Steer, Refine (arxiv.org)

"Skill issues'': data-centric optimization of lakehouse agents (arxiv.org)

Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts (arxiv.org)

Emergent Ordinal Geometry in Transformers Trained on Local Comparisons (arxiv.org)

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation (arxiv.org)

Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation (arxiv.org)

Saliency-Aware Model Merging (arxiv.org)

TabChange: Precise Attribute Changes in Tabular Data (arxiv.org)

Torus Graphs for Large Scale Neural Phase Analysis (arxiv.org)

Expected Value Alignment for Generative Reward Modeling in Formal Mathematics Verification (arxiv.org)

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches (arxiv.org)