The Persona Problem in AI Assistants
Evaluating personality consistency in LLM agents during conversations
Research examining how well Large Language Model (LLM) agents maintain consistent personality traits during interactions.
- LLMs often exhibit context-shifting behavior that undermines consistent personality-aligned interactions
- Study analyzes personality traits in dyadic (pairwise) conversations
- Findings reveal challenges in maintaining coherent personas across different interaction scenarios
- For educational applications, personality consistency is crucial for effective tutoring and establishing student trust
Insights valuable for developing more reliable AI assistants in education, where consistent behavior patterns support better learning relationships and outcomes.