Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning

Yanhui Guo; Shaoyuan Xu; Jinmiao Fu; Xiaolong Liu; Chaosheng Dong; Bryan Wang

doi:10.18653/v1/2024.findings-naacl.166

ScienceGate Book Chapters

JOURNAL ARTICLE

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning

Yanhui Guo Shaoyuan Xu Jinmiao Fu Xiaolong Liu Chaosheng Dong Bryan Wang

Year: 2024 Pages: 2595-2622

DOI: 10.18653/v1/2024.findings-naacl.166

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Queue Shot (pellet) Lifelong learning One shot Artificial intelligence Computer network Materials science Psychology Engineering Metallurgy Pedagogy

Metrics

Cited By

1.92

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Speech and dialogue systems

Physical Sciences → Computer Science → Artificial Intelligence

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning

Metrics

Citation History

Topics

Related Documents

Cross-language few-shot intent recognition via prompt-based tuning

Ontology-enhanced Prompt-tuning for Few-shot Learning

Prototypical Verbalizer for Prompt-based Few-shot Tuning

PPT: Pre-trained Prompt Tuning for Few-shot Learning

Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning