ArXiv TLDR

Yupeng Hou

2 papers · Latest:

Information Retrieval

Expressiveness Limits of Autoregressive Semantic ID Generation in Generative Recommendation

Generative recommendation models' autoregressive ID generation limits expressiveness due to tree-structured decoding, which Latte mitigates for better performance.

2605.06331
Information Retrieval

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space

GloRank introduces a generative reranking framework for recommender systems that uses global item identifiers instead of local indices, improving item understanding and performance.

2604.25291

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