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PRO-Step: Step-level Process Reward Optimization for Retrieval-Augmented Generation
Keeminn Ke, Author 2, Author 3, Author 4, Author 5
RAGmulti-hop reasoningstep-level optimization
2609.01658
Builder Relevance
2h ago80%
Abstract
PRO-Step introduces a method to optimize step-level rewards in Retrieval-Augmented Generation to reduce error propagation in multi-hop reasoning.
Reality Card
Core Claim
PRO-STEP achieves the best average EM and F1 scores across five benchmarks by optimizing step-level rewards in retrieval-augmented generation.
Method / Result
Achieved best average EM and F1 across five benchmarks.
Limitations
The method may require extensive computational resources for training and evaluation.
Paper to code
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