AI News

Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning (arxiv.org)

Breaking the Data Barrier in Learning Symbolic Computation: A Case Study on Variable Ordering Suggestion for Cylindrical Algebraic Decomposition (arxiv.org)

Cross-reality location privacy protection in 6G-enabled vehicular metaverses: an LLM-enhanced hybrid generative diffusion model-based approach (arxiv.org)

Atlas 2 -- Foundation models for clinical deployment (arxiv.org)

Security Without Detection: Economic Denial as a Primitive for Edge and IoT Defense (arxiv.org)

Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression (arxiv.org)

Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection (arxiv.org)

Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits (arxiv.org)

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers (arxiv.org)

From Perturbation Correction to Geometry-Aware Sampling: Sharpness-Guided Equilibrium Sampling for Balanced Flat Minima in Long-Tailed Learning (arxiv.org)

On the Convergence of Stochastic Low-Rank Adaptation (arxiv.org)

Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning (arxiv.org)

Trajectory-Regularized Stochastic Optimal Control via KL Divergence (arxiv.org)

Multi-Agent Debate and Visual Information Extraction for SeePhys Pro: A 1st-Place Technical Report from ICML 2026 AI4Math Track 3 Challenge (arxiv.org)

LatentFlow: Visual Analytics for Latent Space Analysis in Molecular Graph Neural Networks (arxiv.org)

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention (arxiv.org)

MissHyper: Restoring Clinical Synchronicity in Missingness-Guided Hypergraph Forecasting (arxiv.org)

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement (arxiv.org)

Variance-Reduced Q-Learning over Static and Time-Varying Networks (arxiv.org)

LeAct: Learning to Reason from Expert Actions (arxiv.org)

Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression (arxiv.org)

A Graph-Based Control Interface for Traffic Signals on Heterogeneous Road Networks (arxiv.org)

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA (arxiv.org)

Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness (arxiv.org)

Physiological Signals as a Forensic Modality for Talking-Face Deepfake Detection (arxiv.org)

MotifRole-Diff: Risk-Optimal Role-Aware Corruption for Masked Molecular Graph Diffusion (arxiv.org)

On the Depth Scalability of Logic Gate Networks (arxiv.org)

Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees (arxiv.org)

Measuring the Dependency Gap: Diagnosing Inter-Column Fidelity in Tabular Generative Models (arxiv.org)

Toward User-Conditioned Evaluation of Personal LLM Agents under Temporal Interventions (arxiv.org)

Automatic Stability and Recovery for Neural Network Training (arxiv.org)

Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consensus-based Approach (arxiv.org)

gp2Scale: A Class of Compactly Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points (arxiv.org)

CorVS+: Correspondence-Driven Association of Video Trajectories and Sensors for Identity-Aware Person Localization in Warehouses (arxiv.org)

Numerical Fragility in Transformers: A Layer-wise Theory for Risk Estimation and Selective Stabilization (arxiv.org)

Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning (arxiv.org)

Meta-Learning Approaches for Speaker-Dependent Voice Fatigue Models (arxiv.org)

Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs (arxiv.org)

Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learning (arxiv.org)

PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest (arxiv.org)

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support (arxiv.org)

Singular value soft-thresholding via the polar decomposition (arxiv.org)

TRACE-ROUTER: Task-Consistent and Adaptive Online Routing for Agentic AI (arxiv.org)

Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability (arxiv.org)

Reflector: Arrangement-Aware Harmonic Retrieval for Sample-Based Composition (arxiv.org)

Universal BCI Personalization: One API for Frozen EEG Trunks and Foundation Models (arxiv.org)

HiKV: Hierarchical Importance-Aware KV Cache with Hardware Acceleration for LLM Decoding (arxiv.org)

Agentic Root Cause Analysis through Evidence-Grounded Reasoning (arxiv.org)

Deep Convolutional Large-Margin $\ell_p$-SVDD for Visual Anomaly Detection (arxiv.org)

Bowel Obstruction Detection and Localization on Abdominal CT with Deep Learning (arxiv.org)