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Agentic commerce runs on truth and context

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

In this article, you will learn what prompt injection and tool misuse are in the...

AgentCompass: Towards Reliable Evaluation of Agentic Workflows in Production

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

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

arXiv:2507.16802v2 Announce Type: replace Abstract: Large Language Models (LLMs) exhibit considerable promise in financial applications;...

Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning

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

AI agents are moving from passive assistants to active participants. Today, we ask them to...

Agent Learning via Early Experience

arXiv:2510.08558v2 Announce Type: replace-cross Abstract: A long-term goal of language agents is to learn and...

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