Fashion

[2402.10192] Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias

[Submitted on 15 Feb 2024 (v1), last revised 4 Feb 2026 (this version, v4)] View a PDF of the paper titled Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias, by Philip A. LeMaitre and 2 other authors View PDF HTML (experimental) Abstract:With the impressive progress of deep learning, applications relying on machine learning are increasingly being integrated into …

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[2602.01587] Provable Defense Framework for LLM Jailbreaks via Noise-Augumented Alignment

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a …

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Intel will start making GPUs, a market dominated by Nvidia 

As Intel continues to try to turn itself around, its CEO promised that the company will start producing a new type of chip, one that has been made very popular by rival Nvidia. At the Cisco AI Summit on Tuesday, Intel CEO Lip-Bu Tan announced that the company will start producing graphics processing units (GPUs). These are more specialized processors, …

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[2511.16377] Optimal Fairness under Local Differential Privacy

[Submitted on 20 Nov 2025 (v1), last revised 30 Jan 2026 (this version, v2)] View a PDF of the paper titled Optimal Fairness under Local Differential Privacy, by Hrad Ghoukasian and 1 other authors View PDF HTML (experimental) Abstract:We investigate how to optimally design local differential privacy (LDP) mechanisms that reduce data unfairness and thereby improve fairness in downstream classification. …

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How to Apply Agentic Coding to Solve Problems

has become the single most effective approach for me to solve problems. Most problems I encounter at work can be solved effectively by utilizing agents. This is in contrast to manually solving tasks or coding up a solution yourself. In this article, I’ll give a high-level overview of how I approach problems and solve them using Claude Code. As an …

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Anthropic brings agentic plug-ins to Cowork

Earlier this month, Anthropic launched Cowork, a new agentic tool designed to take the benefits of its AI coding assistant Claude Code and transform it into a more general-use tool that non-coders could benefit from. Now Anthropic has launched a new feature within Cowork to make it even more powerful for enterprise users. Behold, the plug-in. The idea behind plug-ins is …

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[2601.16200] Feature-Space Adversarial Robustness Certification for Multimodal Large Language Models

[Submitted on 22 Jan 2026 (v1), last revised 27 Jan 2026 (this version, v2)] View a PDF of the paper titled Feature-Space Adversarial Robustness Certification for Multimodal Large Language Models, by Song Xia and 4 other authors View PDF HTML (experimental) Abstract:Multimodal large language models (MLLMs) exhibit strong capabilities across diverse applications, yet remain vulnerable to adversarial perturbations that distort …

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ServiceNow inks another AI partnership, this time with Anthropic

ServiceNow announced a deal with major AI player Anthropic just a week after it announced a partnership with OpenAI. Enterprise workflow software company ServiceNow has entered into a multi-year deal with AI research lab Anthropic on Wednesday. This partnership involves further embedding of Anthropic’s AI models into ServiceNow’s platform for its customers and bringing Anthropic’s AI to its employees. ServiceNow …

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A Lifecycle Supervision Framework for Robustly Aligned AI Agents

[Submitted on 7 Dec 2025 (v1), last revised 23 Jan 2026 (this version, v2)] View a PDF of the paper titled Cognitive Control Architecture (CCA): A Lifecycle Supervision Framework for Robustly Aligned AI Agents, by Zhibo Liang and 2 other authors View PDF HTML (experimental) Abstract:Autonomous Large Language Model (LLM) agents exhibit significant vulnerability to Indirect Prompt Injection (IPI) attacks. …

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