Lynn Ai

According to our database, Lynn Ai authored at least 18 papers between 2025 and 2026.

Collaborative distances:

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

2026

PeopleSearchBench: A Multi-Dimensional Benchmark for Evaluating AI-Powered People Search Platforms.

Wei Wang, Tianyu Shi, Shuai Zhang, Boyang Xia, Zequn Xie, Chenyu Zeng, Qi Zhang, Lynn Ai, Yaqi Yu, Kaiming Zhang, Feiyue Tang

CoRR, March, 2026

AOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis.

Pei Yang, Wanyi Chen, Asuka Yuxi Zheng, Xueqian Li, Xiang Li, Haoqin Tu, Jie Xiao, Yifan Pang, Dongdong Zhang, Fuqiang Li, Alfred Long, Lynn Ai, Eric Yang, Bill Shi

CoRR, March, 2026

Implicit Strategic Optimization: Rethinking Long-Horizon Decision-Making in Adversarial Poker Environments.

Boyang Xia, Weiyou Tian, Qingnan Ren, Jiaqi Huang, Jie Xiao, Shuo Lu, Kai Wang, Lynn Ai, Eric Yang, Bill Shi

CoRR, February, 2026

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning.

Jie Xiao, Meng Chen, Qingnan Ren, Jingwei Song, Jiaqi Huang, Yangshen Deng, Chris Tong, Wanyi Chen, Suli Wang, Ziqian Bi, Shuo Lu, Yiqun Duan, Xu Wang, Rymon Yu, Ween Yang, Lynn Ai, Eric Yang, Bill Shi

CoRR, February, 2026

Symphony-Coord: Emergent Coordination in Decentralized Agent Systems.

Zhaoyang Guan, Huixi Cao, Ming Zhong, Eric Yang, Lynn Ai, Yongxin Ni, Bill Shi

CoRR, February, 2026

DynaWeb: Model-Based Reinforcement Learning of Web Agents.

Hang Ding, Peidong Liu, Junqiao Wang, Ziwei Ji, Meng Cao, Rongzhao Zhang, Lynn Ai, Eric Yang, Tianyu Shi, Lei Yu

CoRR, January, 2026

MARS: Unleashing the Power of Speculative Decoding via Margin-Aware Verification.

Jingwei Song, Xinyu Wang, Hanbin Wang, Xiaoxuan Lei, Bill Shi, Shixin Han, Eric Yang, Xiao-Wen Chang, Lynn Ai

CoRR, January, 2026

EVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation.

Pei Yang, Wanyi Chen, Ke Wang, Lynn Ai, Eric Yang, Tianyu Shi

CoRR, January, 2026

2025

Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement Learning.

Pei Yang, Ke Zhang, Ji Wang, Xiao Chen, Yuxin Tang, Eric Yang, Lynn Ai, Bill Shi

CoRR, November, 2025

Speculative Decoding in Decentralized LLM Inference: Turning Communication Latency into Computation Throughput.

Jingwei Song, Wanyi Chen, Xinyuan Song, Max, Chris Tong, Gufeng Chen, Tianyi Zhao, Eric Yang, Bill Shi, Lynn Ai

CoRR, November, 2025

Lattica: A Decentralized Cross-NAT Communication Framework for Scalable AI Inference and Training.

Ween Yang, Jason Liu, Suli Wang, Xinyuan Song, Lynn Ai, Eric Yang, Bill Shi

CoRR, October, 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