---
title: "Who cites Crossmodal-3600: A Massively — 52 citing papers"
description: "52 papers of the Elamur Research library cite «Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/thapliyal-2022-crossmodal-3600-massively-multilingual-multimodal/cited-by/"
---
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# Who cites «Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset»

52 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset»](https://md.research.elamur.ai/free/en/papers/thapliyal-2022-crossmodal-3600-massively-multilingual-multimodal/)

1. [**Gemini: A Family of Highly Capable Multimodal Models arXiv:2312.11805**Gemini Team, Rohan Anil, Sebastian Borgeaud, et al.*2023 · 2,957 citations*](https://md.research.elamur.ai/free/en/papers/gemini-team-2023-gemini-family-highly-capable-multimodal/)
2. [**PaLI: A Jointly-Scaled Multilingual Language-Image Model arXiv:2209.06794**Xi Chen, Xiao Wang, Soravit Changpinyo, et al.*2022 · 341 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-pali-jointly-scaled-multilingual-language/)
3. **[Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art](https://md.research.elamur.ai/free/en/papers/liu-2025-culturally-aware-adapted-nlp-taxonomy/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen*2025 · 89 citations*
4. **[Benchmarking Vision Language Models for Cultural Understanding](https://md.research.elamur.ai/free/en/papers/nayak-2024-benchmarking-vision-language-models-cultural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shravan Nayak, Kanishk Jain, Rabiul Awal, et al.*2024 · 85 citations*

48 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/thapliyal-2022-crossmodal-3600-massively-multilingual-multimodal/) — Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset