The Art of Asking Questions with GenQ

Fine-tuning effective dense retrieval models is challenging. Bi-encoders (sentence transformers) are the current best models for dense retrieval in semantic search. Unfortunately, they’re also notoriously data-hungry models that typically require a particular type of labeled training data.

Hard problems like this attract attention. As expected, there is plenty of attention on building ever better techniques for training retrievers.

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