Papers by Ganyuan Luo

1 papers
A Generative Framework for Personalized Sticker Retrieval (2025.findings-emnlp)

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Challenge: Existing relevance-based generative retrieval methods lack personalization, leading to a mismatch between diverse user expectations and the retrieved results.
Approach: They propose a representation learning model that learns discriminative user representations to encode user-specific sticker preferences.
Outcome: The proposed framework outperforms state-of-the-art methods in generating relevant stickers for queries.

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