activity
20242026
most citedMulti-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

RSI-Router: Evolving Subtask-Level LLM Routing and Skills for Cost-Efficient Agents

Hao Li, Hangfan Zhang, Zhiyao Cui +5

Practical deployment of large language model (LLM) agents requires strong task performance at affordable inference cost. For long-horizon agentic tasks, this performance-cost trade…

cs.AI2026

AgentPanel: Toward a New Paradigm for Human--AI Collaboration in Exploring Scientific Questions

Zhiyao Cui, Qianyi Wang, Haoyang Yan +26

Identifying promising scientific ideas remains an important challenge in research practice. Researchers commonly rely on small-group discussions or one-to-one interactions with a s…

cs.CL2026

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Lei Bai, Zongsheng Cao, Yang Chen +50

We introduce Agents-A1, a 35B Mixture-of-Experts Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. We investigate agent-horizon scaling…

cs.AI2026

Adaptive Theory of Mind for LLM-based Multi-Agent Coordination

Chunjiang Mu, Ya Zeng, Qiaosheng Zhang +6

Theory of Mind (ToM) refers to the ability to reason about others' mental states, and higher-order ToM involves considering that others also possess their own ToM. Equipping large…

cs.CL2026

Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale

Hao Li, Chunjiang Mu, Jianhao Chen +5

The rapid proliferation of Claude agent skills has raised the central question of how to effectively leverage, manage, and scale the agent skill ecosystem. In this paper, we propos…

cs.GT2025

Regret Minimization in Population Network Games: Vanishing Heterogeneity and Convergence to Equilibria

Die Hu, Shuyue Hu, Chunjiang Mu +4

Understanding and predicting the behavior of large-scale multi-agents in games remains a fundamental challenge in multi-agent systems. This paper examines the role of heterogeneity…

cs.AI2024★ 1 cited

Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas

Chunjiang Mu, Hao Guo, Yang Chen +3

The study of cooperation within social dilemmas has long been a fundamental topic across various disciplines, including computer science and social science. Recent advancements in…