arXiv:2609.26820v1 Announce Type: cross Abstract: Physiological time series such as electrocardiograms (ECG) and electroencephalograms (EEG) exhibit…
Category: AI
StudentBench: AI and human tutoring yield equivalent GRE learning gains
arXiv:2609.28470v1 Announce Type: new Abstract: Artificial intelligence offers an unprecedented opportunity to augment human capabilities, yet progress at…
Shutdown Sabotage Propensities in Multi-Agent Systems
arXiv:2609.28274v1 Announce Type: new Abstract: The final safeguard against rogue AI behavior is the human ability to shut systems down. It has been…
Attention-based representations for multi-task computation
arXiv:2608.04243v1 Announce Type: cross Abstract: Multi-head attention layers produce vector representations that support multiple downstream tasks. We…
An Open Pipeline and Dashboard for Systemic-Risk Evidence under the EU AI Act’s Code of Practice
arXiv:2609.28335v1 Announce Type: new Abstract: Claims about AI safety reach audiences well beyond the AI community, yet many rely on opaque evidence or…
Learning the Cost of Reliable Inference
arXiv:2609.28322v1 Announce Type: new Abstract: Benchmarking and routing platforms increasingly act as intermediaries connecting large language model…
A Resilience Recovery Method for Complex Traffic Network Security Based on Trend Forecasting
arXiv:2609.27903v1 Announce Type: new Abstract: Due to the rapid development of information technology, a huge and complex traffic network has been…
PASTABench: Proactive Assessment of Sequential Trajectories for Agent Safety
arXiv:2609.28197v1 Announce Type: new Abstract: As Large Language Models (LLMs) evolve into autonomous agents that alter real-world states, ensuring…
Finite-Sample Probabilistic Safety Certification for AI-Based Grid-Edge Coordination
arXiv:2609.28182v1 Announce Type: new Abstract: Coordinating large population of flexible grid-edge devices can alleviate the need for time-consuming and…
Discovery of fully efficient fault indicators along a data-based diagnosis process
arXiv:2609.28087v1 Announce Type: new Abstract: The integration of model-based and data-driven paradigms provides a powerful framework for fault diagnosis…