PrefMind: Online multi-agent preference learning for multimodal response generation
In brief
- PrefMind uses a dual-agent framework (Generator and Critic) to align responses with human preferences.
- Agents train via discussions and human-labeled corrections.
- Experiments show improved preference judgment and response generation.
PrefMind introduces an online dual-agent reinforcement learning framework to align multimodal responses with human preferences. A Generator and a Critic agent train each other through discussions and human-labeled corrections, improving response quality.
This summary gives you the essentials. The full article, its figures and quotes are on cs.AI updates on arXiv.org.
Read the original articleAI-generated summary of the source, checked by rules. Report an error