Author

Xiaohan Ye

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Preprint Sep 2026

Reasoning Quality Matters: Combating Reasoning Collapse in LLM-based Embedding Learning

Large Language Models (LLMs) have recently shown strong potential for producing context-rich text embeddings for retrieval. Most existing methods either treat embedding learning as passive feature extraction or exploit LLM reasoning through instruction following for better embedding optimization. However, specializatio...

Zi-Han Gong, Xiaohan Ye, Jiang-Chao Yao et al. · 0 citations

#artificial intelligence Jul 2026

Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation

Pailitao-MMSearch is presented, one native e-commerce multimodal search foundation model designed to bridge this gap, and introduces three key innovations:HybSID (Hybrid Semantic ID);(2)a two-stage continual pre-training strategy; and (3)a hybrid reasoning post-training pipeline.

Xiaohan Ye, Xu Chen, Zi-Han Gong et al. · arXiv.org · 0 citations