Author

Mei-Fang Li

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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

Named Entity Recognition (NER) has achieved substantial progress since the advent of large language models (LLMs). Nevertheless, the recognition of long-tail and domain-specific entities remains challenging due to the deficiency in parametric knowledge. Retrieval-augmented generation (RAG) offers a promising remedy by...

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