Agentic commerce runs on truth and context
3 月 25, 2026admin NUAI,Committee,新闻,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,新闻,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,新闻,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,新闻,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,新闻,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,新闻,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,新闻,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,新闻,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,新闻,Uncategorized(0)arXiv:2510.08558v2 Announce Type: replace-cross Abstract: A long-term goal of language agents is to learn and...
