Agentic commerce runs on truth and context
3月 25, 2026admin NUAI,Committee,ニュース,Uncategorized(0)Imagine telling a digital agent, “Use my points and book a family trip to Italy...
Agentic AI Security: Defending Against Prompt Injection and Tool Misuse
7月 17, 2026admin NUAI,Committee,ニュース,Uncategorized(0)In this article, you will learn what prompt injection and tool misuse are in the...
AgentCompass: Towards Reliable Evaluation of Agentic Workflows in Production
9月 19, 2025admin NUAI,Committee,ニュース,Uncategorized(0)arXiv:2509.14647v1 Announce Type: cross Abstract: With the growing adoption of Large Language Models (LLMs) in...
AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection
8月 5, 2025admin NUAI,Committee,ニュース,Uncategorized(0)arXiv:2508.01249v1 Announce Type: cross Abstract: Large Language Model (LLM) agents offer a powerful new paradigm...
Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning
7月 24, 2025admin NUAI,Committee,ニュース,Uncategorized(0)arXiv:2507.16802v2 Announce Type: replace Abstract: Large Language Models (LLMs) exhibit considerable promise in financial applications;...
Agent0: A Fully Autonomous AI Framework that Evolves High-Performing Agents without External Data through Multi-Step Co-Evolution
11月 25, 2025admin NUAI,Committee,ニュース,Uncategorized(0)Large language models need huge human datasets, so what happens if the model must create...
Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning
3月 24, 2026admin NUAI,Committee,ニュース,Uncategorized(0)arXiv:2601.03641v3 Announce Type: replace Abstract: Large Language Model (LLM)-based agents significantly extend the utility of...
Agent-based computing is outgrowing the web as we know it
6月 8, 2025admin NUAI,Committee,ニュース,Uncategorized(0)AI agents are moving from passive assistants to active participants. Today, we ask them to...
Agent Learning via Early Experience
10月 15, 2025admin NUAI,Committee,ニュース,Uncategorized(0)arXiv:2510.08558v2 Announce Type: replace-cross Abstract: A long-term goal of language agents is to learn and...
