A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter
Summary
A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter is a scholarly article[1].
Key Facts
A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter's Prompt and Adapter — instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-survey-of-efficient-fine-tuning-methods-for-vision-language-models-prompt-and-adapter
MLA“A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-survey-of-efficient-fine-tuning-methods-for-vision-language-models-prompt-and-adapter.
BibTeX@misc{4ortxyz_a-survey-of-efficient-fine-tuning-methods-for-vision-language-models-prompt-and-adapter_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter}}, year = {2026}, url = {https://4ort.xyz/entity/a-survey-of-efficient-fine-tuning-methods-for-vision-language-models-prompt-and-adapter}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter — https://4ort.xyz/entity/a-survey-of-efficient-fine-tuning-methods-for-vision-language-models-prompt-and-adapter (retrieved 2026-05-24)
