most citedThe Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies

1 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Critique of Agent Model

Eric Xing, Mingkai Deng, Jinyu Hou

What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding agents'', ``AI co-scientists'', and other ``agentic" tools that…

cs.CR2026

Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS

Bingyu Yan, Xiaoming Zhang, Jinyu Hou +4

While Large Language Model-based Multi-Agent Systems (LLM-MAS) demonstrate remarkable capabilities in solving complex tasks by orchestrating specialized agents and external tools,…

cs.AI2026

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning

Mingkai Deng, Jinyu Hou, Lara Sá Neves +4

How should an agent decide when and how to plan? A dominant approach builds agents as reactive policies with adaptive computation (e.g., chain-of-thought), trained end-to-end expec…

cs.LG2026

PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation

Bingyu Yan, Xiaoming Zhang, Jinyu Hou +4

LLM-based multi-agent systems (LLM-MAS) have become a promising paradigm for solving complex tasks through role specialization, tool use, memory, and collaborative reasoning. Howev…

cs.CR2026

ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers

Songyang Liu, Chaozhuo Li, Chenxu Wang +8

OpenClaw has rapidly established itself as a leading open-source autonomous agent runtime, offering powerful capabilities including tool integration, local file access, and shell c…

cs.CL2026★ 1 cited

The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies

Chenxu Wang, Chaozhuo Li, Songyang Liu +10

The emergence of multi-agent systems built from large language models (LLMs) offers a promising paradigm for scalable collective intelligence and self-evolution. Ideally, such syst…

cs.SE2026

Predicting Developer Acceptance of AI-Generated Code Suggestions

Jing Jiang, Liehao Li, Jinyun Hou +2

AI-assisted programming tools are widely adopted, yet their practical utility is often undermined by undesired suggestions that interrupt developer workflows and cause frustration.…

cs.AI2025★ 1 cited

General Agentic Planning Through Simulative Reasoning with World Models

Mingkai Deng, Jinyu Hou, Zhiting Hu +1

What does it mean to plan? Current agentic systems, whether scaffolded workflows or end-to-end policies, rely on reactive decision-making: selecting the next action via a fixed pro…

cs.LG2025

Critique of World Model

Eric Xing, Mingkai Deng, Jinyu Hou

World Model, the algorithmic simulator of the real-world environment which biological agents experience and act upon, has been an emerging topic in recent years due to the rising n…