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Surprisingly, the "think before answer" paradigm fails to enhance generative recommendation models, prompting a novel approach that redefines how reasoning is integrated into these systems.
You can achieve competitive multilingual retrieval performance with a surprisingly cheap pipeline leveraging LLM query expansion, dense embeddings, and a pointwise reranker.
