Lynn Ai

According to our database, Lynn Ai authored at least 7 papers in 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Parallax: Efficient LLM Inference Service over Decentralized Environment.

Chris Tong, Youhe Jiang, Gufeng Chen, Tianyi Zhao, Sibian Lu, Wenjie Qu, Eric Yang, Lynn Ai, Binhang Yuan

CoRR, September, 2025

VeriLLM: A Lightweight Framework for Publicly Verifiable Decentralized Inference.

Ke Wang, Felix Qu, Libin Xia, Zishuo Zhao, Chris Tong, Lynn Ai, Eric Yang

CoRR, September, 2025

SEDM: Scalable Self-Evolving Distributed Memory for Agents.

Haoran Xu, Jiacong Hu, Ke Zhang, Lei Yu, Yuxin Tang, Xinyuan Song, Yiqun Duan, Lynn Ai, Bill Shi

CoRR, September, 2025

Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence.

Ji Wang, Kashing Chen, Xinyuan Song, Ke Zhang, Lynn Ai, Eric Yang, Bill Shi

CoRR, August, 2025

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms.

Jie Xiao, Changyuan Fan, Qingnan Ren, Alfred Long, Yuchen Zhang, Rymon Yu, Eric Yang, Lynn Ai, Shaoduo Gan

CoRR, August, 2025

Hide-and-Shill: A Reinforcement Learning Framework for Market Manipulation Detection in Symphony-a Decentralized Multi-Agent System.

Ronghua Shi, Yiou Liu, Xinyu Ying, Yang Tan, Yuchun Feng, Lynn Ai, Bill Shi, Xuhui Wang, Zhuang Liu

CoRR, July, 2025

Gradientsys: A Multi-Agent LLM Scheduler with ReAct Orchestration.

Xinyuan Song, Zeyu Wang, Siyi Wu, Tianyu Shi, Lynn Ai

CoRR, July, 2025