arXiv:2512.22608v3 Announce Type: replace
Abstract: Due to the high value and high failure rates of startups, predicting their success is a critical challenge. Existing approaches typically model startup success from a single decision-maker’s perspect…
arXiv:2602.03548v3 Announce Type: replace
Abstract: Large Language Models have demonstrated remarkable capabilities in open-domain dialogues. However, current methods exhibit suboptimal performance in service dialogues, as they rely on noisy, low-qual…
arXiv:2605.03269v1 Announce Type: new
Abstract: While Vision-Language-Action models (VLAs) have shown remarkable progress toward human-like generalist robotic policies through the versatile intelligence (i.e. broad scene understanding and language-con…
A Norwegian researcher has identified an issue with Microsoft Edge’s Password Manager that could be a serious concern for businesses.
Tom Jøran Sønstebyseter Rønning found that passwords are being saved within the browser in p…
Apple has held “exploratory” talks about manufacturing processors for its devices in the US, Bloomberg reports. The move seems to reflect Apple’s need to secure additional chip supplies to meet growing demand for its products, bu…
A newly identified malware campaign is abusing Microsoft’s Phone Link feature to intercept SMS-based one-time passwords and other sensitive mobile data directly from Windows systems.
The activity, first observed by Cisco Talos…
Microsoft and Google are adding new controls for AI agents, as enterprise IT teams try to keep up with tools that can access corporate data and act across business applications.
Microsoft’s Agent 365, made generally available …
arXiv:2605.01126v1 Announce Type: new
Abstract: Forecasting the wide variety of high-impact weather events experienced globally is a challenge for both Artificial Intelligence (AI) and Numerical Weather Prediction (NWP) models and it is critical that …
arXiv:2605.02439v1 Announce Type: cross
Abstract: Synthesizing realistic and diverse anomalous samples from limited data is vital for robust model generalization. However, existing methods struggle to reconcile fidelity and diversity, often hampered b…
arXiv:2506.13727v2 Announce Type: replace-cross
Abstract: Large Language Models (LLMs) are widely deployed in real-world applications, yet their internal mechanisms remain difficult to interpret and control, limiting our ability to diagnose and correc…