3 citations · 3 across the 1 of their papers we have counts for
4 papers
Measuring Agents in Production
Melissa Z. Pan, Negar Arabzadeh, Riccardo Cogo +22
LLM-based agents already operate in production across many industries, yet we lack an understanding of what technical methods make deployments successful. We present the first syst…
The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey
Juhee Kim, Xiaoyuan Liu, Zhun Wang +4
AI agents that combine large language models with non-AI system components are rapidly emerging in real-world applications, offering unprecedented automation and flexibility. Howev…
Can LLMs Ask Good Questions?
Yueheng Zhang, Xiaoyuan Liu, Yiyou Sun +5
We evaluate questions generated by large language models (LLMs) from context, comparing them to human-authored questions across six dimensions: question type, question length, cont…
DeServe: Towards Affordable Offline LLM Inference via Decentralization
Linyu Wu, Xiaoyuan Liu, Tianneng Shi +2
The rapid growth of generative AI and its integration into everyday workflows have significantly increased the demand for large language model (LLM) inference services. While propr…