Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation

arXiv:2308.08378v2 Announce Type: replace-cross
Abstract: Continual learning refers to the capability of a machine learning model to learn and adapt to new information, without compromising its performance on previously learned tasks. Although several studies have investigated continual learning methods for information retrieval tasks, a well-defined task formulation is still lacking, and it is unclear how typical learning strategies perform in this context. To address this challenge, a systematic task formulation of continual neural information retrieval is presented, along with a …

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