activity
20242026
most citedBeyond a binary theorizing of prosociality

14 citations · 18 across the 14 of their papers we have counts for

collaborators

15 papers

cs.AI2026

The Agent Use of Agent Beings: Agent Cybernetics Is the Missing Science of Foundation Agents

Xinrun Wang, Chang Yang, He Zhao +2

LLM-based foundation agents that perceive, reason, and act across thousands of reasoning steps are rapidly becoming the dominant paradigm for deploying artificial intelligence in o…

cs.AI2026

Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment

Jiajia Li, Xiaoyu Wen, Zhongtian Ma +3

The growing capabilities of large language models (LLMs) have driven their widespread deployment across diverse domains, even in potentially high-risk scenarios. Despite advances i…

cs.HC2026

Design First, Code Later: Aesthetically Pleasing Template-Free Slides Generation

Zhiyao Cui, Chenxu Wang, Shuyue Hu +4

Producing presentation slides automatically entails coordinating narrative structure with page-level graphic design under strict spatial constraints. For such structured multimodal…

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.AI2025

PerPilot: Personalizing VLM-based Mobile Agents via Memory and Exploration

Xin Wang, Zhiyao Cui, Hao Li +10

Vision language model (VLM)-based mobile agents show great potential for assisting users in performing instruction-driven tasks. However, these agents typically struggle with perso…

cs.AI2025

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior

Hao Li, Gengrui Zhang, Petter Holme +2

Human decision-making belongs to the foundation of our society and civilization, but we are on the verge of a future where much of it will be delegated to artificial intelligence.…

cs.AI2025

Reputation as a Solution to Cooperation Collapse in LLM-based MASs

Siyue Ren, Wanli Fu, Xinkun Zou +5

Cooperation has long been a fundamental topic in both human society and AI systems. However, recent studies indicate that the collapse of cooperation may emerge in multi-agent syst…

cs.CL2025

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity

Hangfan Zhang, Zhiyao Cui, Jianhao Chen +5

Multi-agent debate (MAD) has gained significant attention as a promising line of research to improve the factual accuracy and reasoning capabilities of large language models (LLMs)…

cs.LG2024

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models

Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou +3

Despite the growing popularity of graph attention mechanisms, their theoretical understanding remains limited. This paper aims to explore the conditions under which these mechanism…

cs.HC2024★ 1 cited

Overcoming the Machine Penalty with Imperfectly Fair AI Agents

Zhen Wang, Ruiqi Song, Chen Shen +7

Despite rapid technological progress, effective human-machine cooperation remains a significant challenge. Humans tend to cooperate less with machines than with fellow humans, a ph…

physics.soc-ph2024★ 14 cited

Beyond a binary theorizing of prosociality

Chen Shen, Zhixue He, Hao Guo +4

A stylized experiment, the public goods game, has taught us the peculiar reproducible fact that humans tend to contribute more to shared resources than expected from economically r…

cs.AI2024

Configurable Mirror Descent: Towards a Unification of Decision Making

Pengdeng Li, Shuxin Li, Chang Yang +5

Decision-making problems, categorized as single-agent, e.g., Atari, cooperative multi-agent, e.g., Hanabi, competitive multi-agent, e.g., Hold'em poker, and mixed cooperative and c…

cs.IT2024

Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning

Qiaosheng Zhang, Chenjia Bai, Shuyue Hu +2

This work designs and analyzes a novel set of algorithms for multi-agent reinforcement learning (MARL) based on the principle of information-directed sampling (IDS). These algorith…

cs.MA2024★ 2 cited

Emergence of Social Norms in Generative Agent Societies: Principles and Architecture

Siyue Ren, Zhiyao Cui, Ruiqi Song +2

Social norms play a crucial role in guiding agents towards understanding and adhering to standards of behavior, thus reducing social conflicts within multi-agent systems (MASs). Ho…

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…