Home ›
Entities
› academia
› EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models
Research article (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024) · cited 13× · AI/ML
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models
Summary
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models is a scholarly article[1].
Key Facts
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/exams-v-a-multi-discipline-multilingual-multimodal-exam-benchmark-for-evaluating-vision-language-models
MLA“EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exams-v-a-multi-discipline-multilingual-multimodal-exam-benchmark-for-evaluating-vision-language-models.
BibTeX@misc{4ortxyz_exams-v-a-multi-discipline-multilingual-multimodal-exam-benchmark-for-evaluating-vision-language-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models}}, year = {2026}, url = {https://4ort.xyz/entity/exams-v-a-multi-discipline-multilingual-multimodal-exam-benchmark-for-evaluating-vision-language-models}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models — https://4ort.xyz/entity/exams-v-a-multi-discipline-multilingual-multimodal-exam-benchmark-for-evaluating-vision-language-models (retrieved 2026-05-24)