About me
- I am a third-year PhD student in Computer Science department at Rutgers University. I am fortunate to be advised by Prof. Yongfeng Zhang.
- My research interests lie at language agent, LLM-served system.
News
- [2024-09] 1 paper is accepted to EMNLP 2024 (Findings).
- [2024-09] I am invited as a reviewer of ICLR 2025.
- [2024-06] I am invited as a reviewer of ARR 2024 (Jun Cycle).
- [2024-05] I am invited as a reviewer of NeurIPS 2024.
- [2024-01] I am invited as a reviewer of ARR 2024 (Feb Cycle).
- [2023-09] 1 paper is accepted to NeurIPS 2023 (Dataset and Benchmark Track).
- [2023-09] I am invited as a reviewer of ICLR 2024.
- [2023-06] 1 paper is accepted to TSE 2023.
- [2023-05] 1 paper is accepted to ACL 2023.
- [2023-03] I am invited as a reviewer of NeurIPS 2023.
- [2023-01] 1 paper is selected as the spotlight by ICLR 2023.
- [2022-12] I am invited as a reviewer of ICLR 2023 BANDS.
- [2022-09] 1 paper is accepted to NeurIPS 2022.
Open-sourced Projects
AIOS: LLM Agent Operating System (2.8k stars)
Role: MaintainerOpenAGI: When LLM Meets Domain Experts (1.8k stars)
Role: Maintainer
Preprints
AIOS: LLM Agent Operating System
Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng ZhangLightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation
Kai Mei, Shuyuan Xu, Yongfeng ZhangWar and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, Yongfeng Zhang
Selected Publications
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models
Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma
ACL 2023OpenAGI: When LLM Meets Domain Experts
Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang
NeurIPS 2023 (Dataset and Benchmark Track)UNICORN: A Unified Backdoor Trigger Inversion Framework
Zhenting Wang, Kai Mei, Juan Zhai, Shiqing Ma
ICLR 2023Rethinking the Reverse-engineering of Trojan Triggers
Zhenting Wang, Hailun Ding, Kai Mei, Juan Zhai, Shiqing Ma
NeurIPS 2022
Service
- Reviewer, NeurIPS 2023, ICLR 2024, ARR 2024 (Feb Cycle, Jun Cycle), NeurIPS 2024
- Sub-Reviewer, CIKM 2023, KDD 2023, RecSys 2023, SIGIR 2024