Learning Sparse Prototypes for Text Generation
–Neural Information Processing Systems
However, there has been a recent move towards non-parametric neural LMs (Guu et al., 2018; Khandelwal et al., 2020b) that generate sentences by first selecting examples from an external datastore. For instance, Khandelwal et al. (2020b) model the token-level probability at test time by interpolating the language model with a kNN distribution from the nearest context-token pairs in the datastore, while Guu et al. (2018) store external memories on sentence level and feature a
Neural Information Processing Systems
Aug-15-2025, 16:14:03 GMT
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