Author

Emre Can Acikgoz

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Preprint Aug 2026

Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs

These findings expose a critical weakness in current LLM agents: even when they initially reason correctly, they can be steered toward false conclusions by optimized natural language influence, which positions persuasion robustness as a necessary safety criterion for multi-agent and human-AI decision-making systems.

Nimet Beyza Bozdag, Emre Can Acikgoz, Gokhan Tur et al. · 0 citations