11 papers
Workflow-Localized Mechanism Learning: Attribution-Guided Repair and Knowledge Reuse for Structured Agent Skills
Zibin Lin, Shengli Zhang, Taotao Wang +3
Agent Skills package reusable procedural knowledge as external artifacts for frozen language-model agents, yet existing optimizers do not jointly resolve where a failure occurs in…
Wireless Personal Agent: Extending Wireless Intelligence from Networks to Terminals
Jiedan Tan, Fang Liu, Jingwen Tong +3
Wireless networks are evolving from connectivity-oriented infrastructures into intelligent and personalized service platforms. Existing wireless intelligence remains centered on ne…
Distributed General-Purpose Agent Networks: Architecture, Key Mechanisms, and Prototypes
Shengli Zhang, Deen Ma, Zibin Lin +1
Large language models have accelerated the transition from passive conversational assistants to autonomous agents that can understand goals, plan actions, invoke tools, and execute…
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models
Mohammed N. Swileh, Shengli Zhang, Kai Lei
Software-Defined Networking (SDN) provides flexible and programmable network management; however, its centralized control architecture remains highly vulnerable to Distributed Deni…
Agentic Trading: When LLM Agents Meet Financial Markets
Yihan Xia, Panpan You, Taotao Wang +4
Large Language Models (LLMs) combined with autonomous agent architectures are shifting quantitative finance from isolated predictive modeling toward closed-loop trading agents. The…
AlphaLogics: A Market Logic-Driven Multi-Agent System for Scalable and Interpretable Alpha Factor Generation
Zhangyuhua Weng, Shengli Zhang, Taotao Wang +1
Factor investing is ultimately grounded in market logic - the latent mechanism behind observed alpha factors that explains why they should persist across assets and regimes. Howeve…
TimberAgent: Gram-Guided Retrieval for Executable Music Effect Control
Shihao He, Yihan Xia, Fang Liu +2
Digital audio workstations expose rich effect chains, yet a semantic gap remains between perceptual user intent and low-level signal-processing parameters. We study retrieval-groun…
DAO-Agent: Zero Knowledge-Verified Incentives for Decentralized Multi-Agent Coordination
Yihan Xia, Taotao Wang, Wenxin Xu +1
Autonomous Large Language Model (LLM)-based multi-agent systems have emerged as a promising paradigm for facilitating cross-application and cross-organization collaborations. These…
Binding Agent ID: Unleashing the Power of AI Agents with accountability and credibility
Zibin Lin, Shengli Zhang, Guofu Liao +2
Autonomous AI agents lack traceable accountability mechanisms, creating a fundamental dilemma where systems must either operate as ``downgraded tools'' or risk real-world abuse. Th…
EmbedGrad: Gradient-Based Prompt Optimization in Embedding Space for Large Language Models
Xiaoming Hou, Jiquan Zhang, Zibin Lin +2
Effectively adapting powerful pretrained foundation models to diverse tasks remains a key challenge in AI deployment. Current approaches primarily follow two paradigms:discrete opt…
VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs
Guofu Liao, Taotao Wang, Shengli Zhang +3
Fine-tuning large language models (LLMs) is crucial for adapting them to specific tasks, yet it remains computationally demanding and raises concerns about correctness and privacy,…