Mar 18, 2021 · Abstract:Prompting a pretrained language model with natural language patterns has been proved effective for natural language understanding ...

Aug 26, 2023 · Prompting a pretrained language model with natural language patterns has been proved effective for natural language understanding (NLU).

Oct 25, 2023 · We experiment with P- tuning on both unidirectional and bidirectional pretrained models, i.e., GPT and BERT. We include four variants BERT-Base, ...

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''. - THUDM/P-tuning.

Mar 16, 2024 · The GPT-3 paper suggests that: giant unidirectional language models together with appropriate manual prompt may work for natural language ...

Feb 28, 2024 · GPT goes wrong because its guessing not understanding ... While there is a crowd out there championing “ understanding ” in GPT, the recent “mass ...

Apr 15, 2023 · The paper proposes a novel method called P-tuning, which employs trainable continuous prompt embeddings to improve the performance of GPTs ...

Sep 4, 2023 · Bibliographic details on GPT Understands, Too.

Sep 13, 2021 · The results are most Fascinating when comparing finetuning, p-tuning, and manual prompt. Especially for knowledge probing (evaluates how much ...

Feb 21, 2024 · GPT-too: A language-model-first approach for AMR-to-text generation ... Meaning Representations (AMRs) are broad-coverage sentence-level semantic ...