AI News

Reasoning for Propaganda Detection via Label-Guided CoT Optimisation (arxiv.org)

On the Statistical Mechanics of Attention (arxiv.org)

Thinking Outside the Bots: Human Ideas in AI's Semantic Blind Spots Are Not Inferior (arxiv.org)

Joint Embedding with Dynamic Integration network (JEDI-net) (arxiv.org)

StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions (arxiv.org)

MID: Mask-Image Distributional Divergence for Evaluating Medical Image Segmentation (arxiv.org)

Phase-Conditioned Affordance Fields for SE(3)-Equivariant Visuomotor Policies (arxiv.org)

Measuring Learned Equivariance: An Information Theoretic Approach (arxiv.org)

From Conceptual EneMonIE to an Executable Backend: A Modular Architecture for Energy Information Extractionand Grounded Question Answering (arxiv.org)

Compute-optimal data scaling for neural surrogates via multi-fidelity training (arxiv.org)

Deleting Code Without Losing Knowledge: Regenerative Software for Python Libraries (arxiv.org)

FreeSolo: Linear-time Sparse Attention with Zero-Shot Length Extrapolation (arxiv.org)

Generative Flow on Symbolic Abstractions for Embodiment Capability Discovery (arxiv.org)

Force-Modulated Dexterity: Unified Compliance for Contact-Rich Manipulation (arxiv.org)

SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning (arxiv.org)

Who is the 'I' in AI? Establishing Decentralized Identity and Accountability for Autonomous Agents (arxiv.org)

D-World: An Explicit World-Language-Action Model with Recursive Self-Improvement under Dual Control (arxiv.org)

Calibrated Typed Decisions for Entity, Relation, and Event Extraction (arxiv.org)

AIPOCH Open-Science: An Open-Source AI Research Workbench with Reproducible .science Packages (arxiv.org)

What the Machine Invented: Mining New Mathematical Instruments from OpenAI's October 2026 Release of AI-Generated Mathematics (arxiv.org)

Interactive Navigation Beyond Reachability: Benchmark and Agentic Framework (arxiv.org)

Fast Rates for Offline Q-Learning with KL Regularization (arxiv.org)

Superintelligence and the Triple Risk of an AI Race (arxiv.org)

Gradient Routing Localizes and Removes Unintended Behaviors in RL (arxiv.org)

SPLICE: Sparse Physics Library Identification and Compositional Expansion (arxiv.org)

CWE-bench: Refocusing Agentic Security from Exploitation to Defense (arxiv.org)

ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty (arxiv.org)

MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation (arxiv.org)

Governing Copyright Responsibly in the Era of Generative AI (arxiv.org)

TabGift: A Context-Efficient Foundation Model for Tabular Data Generation (arxiv.org)

AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding (arxiv.org)

From Suboptimal to Optimal: One-Step Latent Flow Policies for Offline Reinforcement Learning (arxiv.org)

WeGR: Unified Generative Retrieval for Industrial Search Systems in WeChat (arxiv.org)

The Value of Being Wrong: Self-Mined Visual In-Context Learning from Errors (arxiv.org)

Proactive Physical AI through Continuous Observation and Timely Intervention (arxiv.org)

SarcasTraps: Effect of Sarcasm on Turkish Hate Speech Detection (arxiv.org)

ResearchFlow-Eval: Tracing the Execution Gap in End-to-End Multi-Claim Autoresearch (arxiv.org)

Privacy-Preserving GNN Inference on Financial Transaction Graphs via Homomorphic Encryption (arxiv.org)

ProtoPur: Prototype-Purity Pseudo-Labeling for Weakly Supervised Instance Learning in Pathology (arxiv.org)

UA-Bench: Benchmarking Large Audio-Language Models on Underwater Acoustic Recognition (arxiv.org)

KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees (arxiv.org)

RoboSimStudio: An Interactive Toolkit for Human and Agent Rapid Real2Sim of Robot Manipulation Tasks (arxiv.org)

Social Priors: Descriptions of AI Users Shape How Language Models Trust and Cooperate (arxiv.org)

PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers (arxiv.org)

Comparing GenAI to Machine Learning and Manual Review for eDiscovery (arxiv.org)

Davinci-Tool: Scaling Agentic Tool-Use Supervision with Verifiable Executable Environments (arxiv.org)

A Scaled-Up Empirical Study of Syntactic Language Models (arxiv.org)

Unsupervised Data Drift Monitoring for Deployed Deepfake Speech Detectors (arxiv.org)

DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning (arxiv.org)

Growing to See: Efficient Pretraining of Self-Supervised Vision Transformers (arxiv.org)