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ControlRetriever: Harnessing the Power of Instructions for Controllable Retrieval
Recent studies have shown that dense retrieval models, lacking dedicated training data, struggle to perform well across diverse retrieval tasks, as different retrieval tasks often entail distinct search intents.
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization
Though effective, prompt tuning under few-shot settings on the one hand heavily relies on a good initialization of soft prompts.
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
First, contract elements are far more fine-grained than named entities, which hinders the transfer of extractors.
Cross-Domain Named Entity Recognition
named-entity-recognition
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