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.
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