Julian McAuley
3 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 RetrievalFrom 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
Software EngineeringStarCoder 2 and The Stack v2: The Next Generation
StarCoder2 is a next-generation open-source Code LLM trained on a vastly expanded and diverse dataset, achieving state-of-the-art performance on multiple code benchmarks while being more parameter-efficient than larger models.
2402.19173
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