Author

Fu-Yu Lv

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Preprint Oct 2026

Progressive Learning from Content to Relevance to Personalization for CTR Prediction

FineSID is proposed, a progressive learning framework that unifies content tokenization, query--item semantic pretraining, and personalized post-training via a shared fine-grained discrete representation that improves within-product creative discrimination and improves within-product creative discrimination.

Zhi-Guang Yang, Yu-Lin Yang, Fu-Yu Lv et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Sep-Latent: Separator Tokens as Natural Compression Anchors for Implicit Reasoning

Large Language Models (LLMs) have demonstrated remarkable success in complex reasoning through explicit Chain-of-Thought (CoT), but the associated computational overhead and token verbosity remain significant barriers to efficiency. While implicit reasoning in continuous latent spaces offers a promising alternative, ex...

Yin-Long Xu, Jian-Feng Huang, Zheng-Dong Zhou et al. · 0 citations