Encoder- and decoder-based models have different strengths and are equally useful on generative tasks

Summary

BERT models and autoregressive transformers are equally effective on generative tasks and have different strengths and weaknesses related to pretraining (1). This was observed with DeBERTa and an open-source version of GPT-3.

1.

Samuel D. BERTs are Generative In-Context Learners. In: Advances in Neural Information Processing Systems 37. Neural Information Processing Systems Foundation, Inc. (NeurIPS); 2024. p. 2558–89. Available from: https://doi.org/10.52202/079017-0084