MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings

1. 1Develop persona-adaptive prompting methods to expose user persona to agents
2. 2Implement dual-control settings to evaluate agent behavior in real-time
3. 3Utilize multi-modal language models and real-time TTS to create more realistic interactions
4. 4Evaluate agent performance using persona-adaptive prompting in dual-control settings

AI engineers and researchers working on LLM-powered agents can benefit from this method to improve agent evaluation and robustness, as it allows for more realistic and personalized interactions

💡 Persona-adaptive prompting can improve the robustness and realism of multi-modal agent evaluation

💡 MM-tau-p$^2$: Persona-adaptive prompting for robust multi-modal agent evaluation