Tootfinder

"Two final considerations include (1) the necessity of being both deliberate and strategic and (2) the importance of being flexible and even whimsical about your future."
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.…

This https://arxiv.org/abs/2502.14847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Red-Teaming LLM Multi-Agent Systems via Communication Attacks
Large Language Model-based Multi-Agent Systems (LLM-MAS) have revolutionized complex problem-solving capability by enabling sophisticated agent collaboration through message-based communications. While the communication framework is crucial for agent coordination, it also introduces a critical yet unexplored security vulnerability. In this work, we introduce Agent-in-the-Middle (AiTM), a novel attack that exploits the fundamental communication mechanisms in LLM-MAS by intercepting and manipulat…

Literature Review Of Multi-Agent Debate For Problem-Solving
Arne Tillmann
https://arxiv.org/abs/2506.00066 https://arxiv.org/pdf/2506…

Literature Review Of Multi-Agent Debate For Problem-Solving
Multi-agent large language models (MA-LLMs) are a rapidly growing research area that leverages multiple interacting language agents to tackle complex tasks, outperforming single-agent large language models. This literature review synthesizes the latest research on agent profiles, communication structures, and decision-making processes, drawing insights from both traditional multi-agent systems and state-of-the-art MA-LLM studies. In doing so, it aims to address the lack of direct comparisons in…