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Multitask Prompted Training Enables Zero-Shot Task Generalization
[article]
2022
arXiv
pre-print
Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that this is a consequence of implicit multitask learning in language models' pretraining (Radford et al., 2019). Can zero-shot generalization instead be directly induced by explicit multitask learning? To test this question at scale, we develop a system for easily mapping any natural language tasks into a human-readable prompted
arXiv:2110.08207v3
fatcat:vvacmc2phfg7dpmdqiebyvxvei