Apr 12, 2022 � Our experiments show that causal decoder-only models trained on an autoregressive language modeling objective exhibit the strongest zero-shot generalization.

Causal decoder-only models pretrained with a full language modeling objective achieve best zero-shot generalization when evaluated immediately after self-�...

Apr 12, 2022 � Large pretrained Transformer language models have been shown to exhibit zero- shot generalization, i.e. they can perform a wide variety of�...

Apr 12, 2022 � A large-scale evaluation of modeling choices and their impact on zero-shot generalization finds that pretrained non-causal decoder models can be adapted into�...

Our experiments show that causal decoder-only models trained on an autoregressive language modeling objective exhibit the strongest zero-shot generalization�...

Sep 7, 2024 � Our experiments show that causal decoder-only models trained on an autoregressive language modeling objective exhibit the strongest zero-shot�...

Nov 2, 2023 � The PrefixLM architecture keeps a non-causal mask in its prefix (or inputs) and applies bidirectional attention to input tokens.

What Language Model Architecture and Pretraining. Objective Work Best for Zero-Shot Generalization? The BigScience Architecture & Scaling Group.

Apr 12, 2022 � Our experiments show thatcausal decoder-only models trained on an autoregressive language modelingobjective exhibit the strongest zero-shot�...

Jan 28, 2022 � They proposed to use encoder-decoder model which is already pretrained using masked language modeling to attain better zero-shot performance�...