AI News

StableEval Arena: A Cost-Aware Agentic Benchmark for Stablecoin Price Stability Prediction (arxiv.org)

Dose-Aware Cold Diffusion with Physics Consistency for Generalizable Low-Dose CT Reconstruction (arxiv.org)

Social Laws for Multi-agent Coordination in Stochastic Environments (arxiv.org)

Higher-order pruning of experts in mixture-of-experts language models (arxiv.org)

A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond (arxiv.org)

Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking (arxiv.org)

NeuroECG: ECGFounder-Based Deep ECG Representation for EEG-Free Neurological Prognostication After Cardiac Arrest (arxiv.org)

ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions (arxiv.org)

Decodable but Misrouted: Sparse Features Uncover a Readout Gap in Vision-Language Models for Harmful Meme Detection (arxiv.org)

Is Luke the Author of a Gospel and the Acts of the Apostles? (arxiv.org)

CALOS: Control-Affine Lyapunov On-manifold Safety Layer for Safe Deep Reinforcement Learning for Quadrotors (arxiv.org)

Evolution of US Oral Political Language (arxiv.org)

One Size Does Not Fit All! Dynamic Retriever and Generator Selection for RAG (arxiv.org)

Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents (arxiv.org)

Scaling Articulated Rationales for MLLM-based Recommendation (arxiv.org)

When the Gradient Sees Rank: Provable Necessity, Causal Recruitment, and Composition in Trained Matrix Memories (arxiv.org)

Locating Hidden Failures Makes Long-Horizon Agents More Reliable (arxiv.org)

EdgeReMIND: A Scalable, Top-Ranked Memorization Baseline for Temporal Multi-Relational Link Prediction (arxiv.org)

Walking the Score Manifold: Continuous-time Generative Dynamics on Learned Data Manifolds (arxiv.org)

Long-Context Demonstration Selection Using State Space Models (arxiv.org)

SAM-on-the-Curve: Sharpness-Aware Mode Connectivity for Robust Weight-Space Interpolation (arxiv.org)

REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff (arxiv.org)

Composite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive Control (arxiv.org)

Accelerating Diffusion Sampling via Speculative Draft Trees (arxiv.org)

The Missing "I Don't Know": Why Three Reasoning-Reliability Findings Converge on Calibrated Abstention (arxiv.org)

Beyond the Previous Layer: Residual Predictive Structure in Sparse MoE Routing (arxiv.org)

DSD: Learning Diverse and Reusable Motor Skills via Diffusion Skill Discovery (arxiv.org)

Regularized Least Squares Training of Quadratic Neural Networks with Applications to System Identification (arxiv.org)

Reflect, Revise, Reuse: Training-Free Skill Evolution for GUI Agents (arxiv.org)

Fathom: Per-Query Read Depth for Sparse Decoding over Offloaded KV Caches (arxiv.org)

TERN: A Delta-rule Memory with a Seasonal Reference and Online Adaptation for Epidemic Forecasting (arxiv.org)

ReDIL-GNN: Resynthesis Domain Incremental Learning for Circuit Graph Neural Networks (arxiv.org)

Peak-Aware Short-Term Load Forecasting Across Distribution Grid Aggregation Levels (arxiv.org)

Label-free steering: Compressing test-time reinforcement learning into bias-only subspaces (arxiv.org)

Accurate Trace Estimation with Fewer Random Bits via Recursive TensorSketch (arxiv.org)

The evolution of sex for artificial intelligence: a population-genetic framework for multigenerational model populations (arxiv.org)

Interpretable Patch-Based Deep Learning for Wildfire Spread Prediction from Ensemble Simulations (arxiv.org)

Revisiting the Objective of Echo Chamber Detection (arxiv.org)

Provable Guarantees for Spectral Structured Prediction (arxiv.org)

Reliable Virtual Sensing: A Multi-Domain Benchmark for Robustness Under Sensor Failures (arxiv.org)

Every Fixed Metric Has a Blind Spot: A Learned Atmospheric Critic for Scoring Forecast Realism (arxiv.org)

Trajectory Learnability for Offline On-Policy Distillation with Imperfect Teachers (arxiv.org)

Multi-Appliance Non-Intrusive Load Monitoring via Label-Preserving Aggregate Recomposition and Prediction Consistency (arxiv.org)

Bias Amplification in Multi-Agent Network: How Biased Agents Shape Opinions and Rhetoric (arxiv.org)

A GAN-Based Framework for Robust DDoS Attack Detection (arxiv.org)

Behavioral Fingerprinting and Navigation Prediction in Web Browsing (arxiv.org)

Anomaly Detection in General Ledger Data: Results from a Hybrid Approach (arxiv.org)

APGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study (arxiv.org)

A Lightweight CNN Integrated Compact Convolutional Transformer for Multi-Scale Feature Learning and reducing computational complexity for breast cancer mammography image detection and classification (arxiv.org)

Transformation Laws in Neural Representations: Structure, Realisability, and Construction (arxiv.org)