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). ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts. Retrieved May 24, 2026, from https://4ort.xyz/entity/vip-llava-making-large-multimodal-models-understand-arbitrary-visual-prompts
MLA“ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vip-llava-making-large-multimodal-models-understand-arbitrary-visual-prompts.
BibTeX@misc{4ortxyz_vip-llava-making-large-multimodal-models-understand-arbitrary-visual-prompts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts}}, year = {2026}, url = {https://4ort.xyz/entity/vip-llava-making-large-multimodal-models-understand-arbitrary-visual-prompts}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts — https://4ort.xyz/entity/vip-llava-making-large-multimodal-models-understand-arbitrary-visual-prompts (retrieved 2026-05-24)
