DART: Harnessing Agent Disagreement for Improved Multimodal Reasoning
Published:Dec 8, 2025 03:33
•1 min read
•ArXiv
Analysis
The paper likely presents a novel approach to improving multimodal reasoning by using disagreement among multiple agents to select appropriate tools. The focus on leveraging disagreement offers a potentially interesting contrast to consensus-based approaches in AI.
Key Takeaways
- •Proposes a new methodology called DART.
- •Addresses the challenge of tool selection in multimodal reasoning.
- •Utilizes the concept of multi-agent disagreement.
Reference
“The research focuses on tool recruitment in multimodal reasoning.”