Concept-1K
Introduced by Zheng et al. in Concept-1K: A Novel Benchmark for Instance Incremental Learning
Concept-1K contains 1023 novel concepts from six domains, including economy, culture, science and technology, environment, education, and health and medical. It has 16653 training-test QA pairs corresponding to 16653 knowledge points from 1023 concepts. It is proposed for evaluating the forgetting in large language models and the effectiveness of incremental learning algorithms.
Papers
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