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#machine learning Preprint Sep 2026

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

Instead of rebuilding the entire recommendation stack from scratch, LIGE-GR generalizes the existing pointwise recommendation system into a listwise generation system, which allows mature recommender systems to benefit from listwise optimization while preserving compatibility with existing models, value functions, and...

Venkat Srinivas, Chen-Zhang He, Sam Woodmansee et al. · 0 citations
Jul 2026

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

This work proposes a new holistic retrieval framework, OneShot, an end-to-end, in-model index learning framework that natively aligns index learning with ranking objectives and pushes the boundaries of retrieval expressiveness by scaling interaction modeling with neural scoring beyond the persistent dot-product bottlen...

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

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