Author

Pei-Zhi Xu

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Preprint Aug 2026

ICEGR: An Intent-Coherent End-to-End Generative Retrieval Framework for E-commerce Search

Generative Retrieval (GR) is promising for e-commerce search, yet existing methods struggle to maintain query-intent consistency throughout the training pipeline. First, semantic ID (SID) construction based on static product information limits the ability of SIDs to encode product-intent associations. Second, although...

Jiayi Tuo, He-Han Li, Dong-Jun Fu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning

This paper proposes NE-R1, a novel framework for adaptive retrieval-augmented NER, which achieves state-of-the-art performance on various benchmarks, with an average F1 score gain of 2.52% in in-domain evaluation and 1.18% in zero-shot cross-domain evaluation.

Mei-Xuan Chen, He-Han Li, Rui-Zhi Zhao et al. · 0 citations