LLM simulations show toxic interactions increase debate time by 25%

Researchers have developed a novel method using Large Language Model (LLM) based Multi-Agent Systems to simulate workplace toxicity and quantify its impact on efficiency. By employing Monte Carlo simulations of adversarial debates, the study measured how 'toxic' prompts affected conversation duration. The findings indicate that incivility increases the number of arguments needed to reach a conclusion by approximately 25%, suggesting a quantifiable 'latency of toxicity' that can serve as a proxy for financial damage. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Provides a novel, ethical framework for quantifying the negative impact of toxicity on decision-making processes.

RANK_REASON Academic paper detailing a new simulation methodology for studying social dynamics.

Read on arXiv cs.CL →

• Large Language Model
• Multi-Agent Systems
• Monte Carlo
• Benedikt Mangold

• paper
• safety