Author

Rui Li

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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

#natural language process... Preprint Sep 2026

Auto-RecSys: Harnessing Autonomous Research Agents for Industry-Scale Recommender System

Auto-research agents have shown the potential to automate hypothesis generation, experiment execution, and iterative refinement. However, scaling this paradigm to industry-scale recommendation models introduces two challenges: (1) long feedback loops, where model training can take days, making serial iteration prohibit...

Ming Li, Dai-Peng Li, Xu-Ying Ning et al. · 1 citation