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20152026
most citedInfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

1.2k citations · 3.6k across the 11 of their papers we have counts for

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cs.IR2026

GenRec: An LLM-Backed Recommendation Ranker at Netflix

Ying Li, Shradha Sehgal, Arjun Rao +3

Large language models (LLMs) are reshaping recommender systems by enabling richer modeling of users, content, and context directly in natural language. At Netflix, we are exploring…