Conference
Open access
2026
LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment
This paper proposes LoRE, a novel two-stage training framework for e-commerce search relevance, which outperforms GPT-5 by 29.1% in Macro-F1 and achieving a relative 27% online gain, offering a vital reference for industrial domain-specific post-training post-training.
Chenji Lu, Zhuo Chen, Hui Zhao et al.
· Annual Meeting of the Associ... · 0 citations