Route-to-Rerank: A Novel Post-Training Framework for Multi-Domain Reranking

The paper introduces a post-training framework called Route-to-Rerank (R2R) designed for decoder-only rerankers, addressing the challenge of multi-domain applications. This approach potentially improves the performance and adaptability of reranking models across diverse data sets.

• •R2R is a post-training framework, implying ease of integration with existing models.
• •The focus on multi-domain applications indicates an effort to improve model versatility.
• •The use of decoder-only rerankers suggests efficiency and potential for scaling.