Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models
The research tested 'interlocutor awareness'—an LLM's ability to recognize its partner's identity and characteristics, including reasoning style, language use, and alignment preferences. Findings show models are better at identifying peers from their own family than others. This awareness is crucial for multi-agent collaboration but also introduces risks like reward hacking.