AI News

CT-SAFR: Safe and Interpretable Chain-of-Thought Reasoning for Autonomous Robots: A Multi-Layered Verification Framework for Trustworthy AI-Driven Robotic Decision Making (arxiv.org)

When Auditors Fabricate: Batch-Size Degradation and Confident Hallucination in LLM Detection of Planted Document Contamination (arxiv.org)

Pairit: A Platform for Live Experiments on Human-AI Collaboration (arxiv.org)

Multilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu (arxiv.org)

Improving 5G AI-RAN MCS Selection by Predicting Retransmissions (arxiv.org)

Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management (arxiv.org)

Auditable Emergency Triage for Maternal and Newborn Care in India (arxiv.org)

VANTAGE-Bench: Evaluating the Infrastructure AI Gap in Vision-Language Models (arxiv.org)

An Experimental Evaluation of Multimodal Prompt Injection Attacks on Agentic AI Frameworks (arxiv.org)

Reliable Near-Field Multi-User Positioning Informed by Two-Stage MUSIC (arxiv.org)

Edu-QuRating: Multi-Dimensional Educational Data Curation with Distilled Pairwise Judgements (arxiv.org)

SCCM : Stream Cruise Control Method for Automated Drift Detection and Adaptation (arxiv.org)

From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls (arxiv.org)

Narrative Consolidation: Formulating a New Task for Unifying Multi-Perspective Accounts (arxiv.org)

Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning (arxiv.org)

A Statistical Approach to Estimating Sample Size of Machine Learning Models (arxiv.org)

Arbitrary Cipher Attacks Against Large Language Models Do Not Require Fine-Tuning (arxiv.org)

The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption (arxiv.org)

Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking (arxiv.org)

Modality-Decoupled Federated Learning for Privacy-Preserving Embodied Intelligence in 6G (arxiv.org)

Teacher Geometry Shapes Learnability in Teacher-Student Networks (arxiv.org)

Watermarks Without Verification: AI Text Watermarking After the EU AI Act (arxiv.org)

RouteBridge: Reliability-Routed Bidirectional Distillation Between Neural Radiance Fields and 3D Gaussian Splatting (arxiv.org)

Hyperbolic Geometry for Open-World Object Detection in Remote Sensing Imagery (arxiv.org)

Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning (arxiv.org)

RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding (arxiv.org)

Building py-kvcache: A Performance Characterization of External KV Caching for vLLM with NVMe SSDs (arxiv.org)

Black-Box Membership Inference via Word-Level Probability Estimation (arxiv.org)

A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random Features (arxiv.org)

A variational physics-informed graph neural network for heterogeneous solid mechanics (arxiv.org)

New Evidence, Same Choice: Testing Physical Experiment Selection in Vision Language Models (arxiv.org)

Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN) (arxiv.org)

Optimizing Three Critical Factors for Practical and Effective OOD Detection Fine-Tuning (arxiv.org)

Halo: Improving forecast accuracy through heteroscedastic estimation (arxiv.org)

Zero-shot rib design: merging training-free generative prior with topology optimization (arxiv.org)

Hologram Representation via Quadratic Phase Gaussian Splatting (arxiv.org)

Conformal Calibration Transfer (arxiv.org)

Addressing A Posteriori Performance Degradation in Neural Network Subgrid Stress Models (arxiv.org)

Configuration-Dependent Lower Bounds for Approximation by Shallow ReLU$^k$ Networks on the Sphere (arxiv.org)

Quantum State Preparation with the QNN-based SRBB Algorithm (arxiv.org)

No Screening is More Efficient with Multiple Objects (arxiv.org)

Byzantine-Robust Federated Fire Detection with a Rotating Coordinator (arxiv.org)

Artificial Intelligence Algorithms for the Detection of Pathologies Related to Lung Cancer through Image Analysis using Convolutional Neural Networks and Data Augmentation: a systematic mapping of the literature (arxiv.org)

GEOSTEER: Geodesic Optimization for Activation Steering in Large Language Models (arxiv.org)

Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints (arxiv.org)

SynCo: Synthetic Community-Aware Attributed Graph Generator for Graph Neural Network Benchmarking (arxiv.org)

A Unified Per-Token Gating Family for On-Policy Distillation: FKL/RKL Mixing with Multi-Channel and Bias Coefficients (arxiv.org)

Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology (arxiv.org)

Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling (arxiv.org)

Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models (arxiv.org)