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MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting
Research article (Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023) · cited 19× · AI/ML
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting
Summary
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting is a scholarly article[1].
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MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. Retrieved May 24, 2026, from https://4ort.xyz/entity/mapl-parameter-efficient-adaptation-of-unimodal-pre-trained-models-for-vision-language-few-shot-prompting
MLA“MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mapl-parameter-efficient-adaptation-of-unimodal-pre-trained-models-for-vision-language-few-shot-prompting.
BibTeX@misc{4ortxyz_mapl-parameter-efficient-adaptation-of-unimodal-pre-trained-models-for-vision-language-few-shot-prompting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting}}, year = {2026}, url = {https://4ort.xyz/entity/mapl-parameter-efficient-adaptation-of-unimodal-pre-trained-models-for-vision-language-few-shot-prompting}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting — https://4ort.xyz/entity/mapl-parameter-efficient-adaptation-of-unimodal-pre-trained-models-for-vision-language-few-shot-prompting (retrieved 2026-05-24)