7 papers
Herculean: An Agentic Benchmark for Financial Intelligence
Xueqing Peng, Zhuohan Xie, Yupeng Cao +60
As AI agents improve, the central question is no longer whether they can solve isolated well-defined financial tasks, but whether they can reliably carry out financial professional…
Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge
Shvetank Prakash, Andrew Cheng, Olof Kindgren +13
We present FlexiFlow, a lifetime-aware design framework for item-level intelligence (ILI) where computation is integrated directly into disposable products like food packaging and…
Capability-Priced Micro-Markets: A Micro-Economic Framework for the Agentic Web over HTTP 402
Ken Huang, Jerry Huang, Mahesh Lambe +8
This paper introduces Capability-Priced Micro-Markets (CPMM), a micro-economic framework designed to enable robust, scalable, and secure commerce among autonomous AI agents on the…
Audited Skill-Graph Self-Improvement for Agentic LLMs via Verifiable Rewards, Experience Synthesis, and Continual Memory
Ken Huang, Jerry Huang
Reinforcement learning is increasingly used to transform large language models into agentic systems that act over long horizons, invoke tools, and manage memory under partial obser…
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AI
Ken Huang, Kyriakos Rock Lambros, Jerry Huang +8
This paper introduces the Agentic AI Governance Assurance & Trust Engine (AAGATE), a Kubernetes-native control plane designed to address the unique security and governance challeng…
Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threats
Ken Huang, Yasir Mehmood, Hammad Atta +3
This paper presents a Unified Security Architecture that fortifies the Agentic Web through a Zero-Trust IAM framework. This architecture is built on a foundation of rich, verifiabl…