Chengwei Qin | DeepAI

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∙ 08/06/2023

PromptSum: Parameter-Efficient Controllable Abstractive Summarization

Prompt tuning (PT), a parameter-efficient technique that only tunes the ...

0 Mathieu Ravaut, et al. ∙

∙ 05/05/2023

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework

As large language models (LLMs) have become the norm in NLP, demonstrati...

17 Ruochen Zhao, et al. ∙

∙ 03/20/2023

Retrieving Multimodal Information for Augmented Generation: A Survey

In this survey, we review methods that retrieve multimodal knowledge to ...

17 Ruochen Zhao, et al. ∙

∙ 02/16/2023

Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?

Prompt tuning (PT) which only tunes the embeddings of an additional sequ...

2 Chengwei Qin, et al. ∙

∙ 02/08/2023

Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Spurred by advancements in scale, large language models (LLMs) have demo...

10 Chengwei Qin, et al. ∙

∙ 12/20/2022

Is GPT-3 a Good Data Annotator?

GPT-3 (Generative Pre-trained Transformer 3) is a large-scale autoregres...

34 Bosheng Ding, et al. ∙

∙ 03/04/2022

Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation

Existing continual relation learning (CRL) methods rely on plenty of lab...

1 Chengwei Qin, et al. ∙

∙ 10/14/2021

LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5

Existing approaches to lifelong language learning rely on plenty of labe...

10 Chengwei Qin, et al. ∙

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