collaborators

5 papers

cs.AI2026

Is This Your Agent? Identity Watermarking for Agent Systems in Dynamic Environments

Yuwei Zhong, Yu Cheng, Jiuan Zhou +5

Agent systems deployed in dynamic environments continuously update their memories, skills, and runtime configurations, leading to evolving trajectories and challenges for persisten…

cs.AI2026

AlphaDiana: A Measurement System for Agents in Verifiable Reasoning Tasks

Zhanke Zhou, Zongze Li, Weikai Huang +16

Agents pair reasoning models with harnesses that organize model calls, execute tools, load skill instructions, and retain history in memory. Understanding agent performance require…

cs.LG2026

Bayes-Sufficient Compression Is Not Enough: How Does Communication Help Multi-Agent Systems?

Yi Xie, Zhanke Zhou, Yi Fan +3

Multi-agent LLM systems pair a sender with broad context and an executor with a limited local view. We study when a short message improves the executor's next decision, when raw co…

cs.LG2026

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination

Yi Xie, Zhanke Zhou, Chentao Cao +2

Multi-agent large language model (LLM) systems often fail to reliably outperform a single strong model equipped with best-of-N sampling. We argue that a core source of this instabi…

cs.SE2024

Beimingwu: A Learnware Dock System

Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi +7

The learnware paradigm proposed by Zhou [2016] aims to enable users to reuse numerous existing well-trained models instead of building machine learning models from scratch, with th…