11 citations · 14 across the 20 of their papers we have counts for
4 papers · 1 filter
Toward Reliable Design of LLM-Enabled Agentic Workflows: Optimizing Latency-Reliability-Cost Tradeoffs
Ya-Ting Yang, Quanyan Zhu
Modern AI systems increasingly rely on workflows composed of multiple interacting agents, some powered by large language models (LLMs) and others by conventional computational modu…
Actionable Recourse in Competitive Environments: A Dynamic Game of Endogenous Selection
Ya-Ting Yang, Quanyan Zhu
Actionable recourse studies whether individuals can modify feasible features to overturn unfavorable outcomes produced by AI-assisted decision-support systems. However, many such s…
Differential Privacy in Generative AI Agents: Analysis and Optimal Tradeoffs
Ya-Ting Yang, Quanyan Zhu
Large language models (LLMs) and AI agents are increasingly integrated into enterprise systems to access internal databases and generate context-aware responses. While such integra…
Internet of Agentic AI: Incentive-Compatible Distributed Teaming and Workflow
Ya-Ting Yang, Quanyan Zhu
Large language models (LLMs) have enabled a new class of agentic AI systems that reason, plan, and act by invoking external tools. However, most existing agentic architectures rema…