8 papers
SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup?
Zihang Zhou, Ziqian Ren, Yukai Wu +7
Functionality-correct repository setup aims to configure execution environments (e.g., dependencies, build scripts) to successfully execute a repository's documented features. It p…
What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA
Xinjie He, Zhiyuan Lin, Su Liu +4
Reinforcement learning (RL) has emerged as a viable recipe for training LLM agents to reason over external memory banks in multi-session dialogue. Existing work trains exclusively…
ADR: An Agentic Detection System for Enterprise Agentic AI Security
Chenning Li, Pan Hu, Justin Xu +9
We present the Agentic AI Detection and Response (ADR) system, the first large-scale, production-proven enterprise framework for securing AI agents operating through the Model Cont…
Element and Everything Tokens: Two-Tier Architecture for Mobilizing Alternative Assets
Ailiya Borjigin, Cong He, Charles CC Lee +1
Alternative assets such as mines, power plants, or infrastructure projects are often large, heterogeneous bundles of resources, rights, and outputs whose value is difficult to trad…
AI Agent Architecture for Decentralized Trading of Alternative Assets
Ailiya Borjigin, Cong He, Charles CC Lee +1
Decentralized trading of real-world alternative assets (e.g., gold) requires bridging physical asset custody with blockchain systems while meeting strict requirements for complianc…
AI-Governed Agent Architecture for Web-Trustworthy Tokenization of Alternative Assets
Ailiya Borjigin, Wei Zhou, Cong He
Alternative Assets tokenization is transforming non-traditional financial instruments are represented and traded on the web. However, ensuring trustworthiness in web-based tokenize…