Multi-Agent Retrieval-Augmented Framework Improves Work-in-Progress Prediction

This research, published on ArXiv, introduces a multi-agent retrieval-augmented framework, which is a promising approach for improving work-in-progress prediction. The paper's novelty lies in its multi-agent approach, offering potential for enhanced accuracy and efficiency in complex prediction tasks.

• •The core innovation is the use of a multi-agent framework.
• •The framework incorporates retrieval-augmentation for improved prediction.
• •The application area is work-in-progress prediction.