Author

Zhi-Chen Zhao

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#machine learning Preprint Sep 2026

LIGE-GR: A Smooth Leap from Ranking to Generative Recommendation in the LLM Era

The remarkable success of large language models (LLMs) has provided important inspiration for the next generation of recommender systems. Structurally, recommendation and language generation share a similarity: both aim to produce an ordered sequence that optimizes the user's experience. However, how to precisely absor...

Venkat Srinivas, Chen-Zhang He, Sam Woodmansee et al. · 0 citations

Jul 2026

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval

In modern recommendation systems, retrieval serves as a primary stage responsible for filtering billions of candidate items down to thousands prior to refined ranking. To make this massive search effective and efficient, the system relies on ranking accuracy and indexing efficiency. However, these two objectives are tr...

Ziwei Li, Shuyao Li, Xu Cai et al. · arXiv.org · 0 citations