A hotel retrieval system combining small query encoders with large document encoders, multi-task training, and pooled image features outperforms prior multimodal retrievers on four synthetic test sets.
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HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval
A hotel retrieval system combining small query encoders with large document encoders, multi-task training, and pooled image features outperforms prior multimodal retrievers on four synthetic test sets.