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AI & CognitionarXiv2026-07-17Preprint (50)

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Evaluating Open-Weight LLMs for Generating Structured Threat Information for Autonomous Vehicle Vulnerabilities

Md Erfan, Ahmed Ryan, Md Kamal Hossain Chowdhury et al.

Connected and Autonomous Vehicles (CAVs) rely on interconnected software and hardware components, including sensors, Electronic Control Units, in vehicle infotainment systems, and telematics units, where vulnerabilities can compromise assets, users, and vehicle operations. These vulnerabilities are commonly documented as plain text in the Common Vulnerabilities and Exposures (CVE) database; however, security pract...

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AI & CognitionarXiv2026-07-17Preprint (40)

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Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems

Matteo Tomasetto, Nicolò Botteghi, Gabriele Bruni et al.

Reinforcement learning (RL) has recently emerged as a promising feedback control strategy for nonlinear and complex dynamical systems. However, RL algorithms are sample inefficient and require a large number of interaction with the environment to synthesize optimal control strategies. Consequently, applications of RL are typically limited to sparse sensors and actuators due to the curse of dimensionality entailed ...

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AI & Cognition

Evaluating Open-Weight LLMs for Generating Structured Threat Information for Autonomous Vehicle Vulnerabilities

Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems

An Exam for Active Observers

VTLoc: Learning-based Tactile Contact Localization in Visual Point Clouds

Improving Improved Kernel PLS

When Do Multi-Agent Systems Help? An Information Bottleneck Perspective

BayesContact: Uncertain Pose Estimation via Visuo-Tactile Proposals and Simulation-based Inference

The Honest Quorum Problem: Epistemic Byzantine Fault Tolerance for Agentic Infrastructure

Let the Body Follow: Coupled Egocentric Control for Whole-Body Robot Teleoperation

Harmonizing AI Safety Thresholds

Vision-Language-Motion Maps: An Open-Vocabulary, Uncertainty-Aware, Queryable Motion Attribute for 3D Scene Maps

PagedWeight: Efficient MoE LLM Serving with Dynamic Quality-Aware Weight Quantization

When Does Muon Help Agentic Reinforcement Learning?

A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing

A New Implementation of NeoSLAM and a Comparative Evaluation with RatSLAM

Handroid: Bridging Dexterous Hand and Humanoid

Understanding Reasoning from Pretraining to Post-Training

Multi-Source Domain Adaptive EEG Emotion Recognition Based on Dendrite Net

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data

Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation