Author

Qing Li

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Jul 2026

Diffusion Language Model for Recommendation

Large language model (LLM)-empowered recommender systems have emerged as a promising paradigm for generative recommendation, leveraging their strong semantic reasoning and generative capacity to model complex, diverse user preferences. However, most existing approaches rely on an autoregressive paradigm that is subopti...

Chengyi Liu, Yong-Qi Zhou, Junwei Pan et al. · arXiv.org · 0 citations

Preprint Aug 2026

FashionKG-RAG: Knowledge Graph-Enhanced Retrieval-Augmented Generation for Fashion Question Answering

Fashion is a knowledge-intensive domain in which effective decision-making depends on integrating multiple types of knowledge. Although Large Language Models (LLMs) have transformed many areas, their application in fashion remains limited by hallucinations and weak domain specialization. Knowledge Graph (KG)-based Retr...

Yujuan Ding, Linyin Luo, Shijie Wang et al. · 0 citations