--- title: "Who cites BLEnD-Vis: Benchmarking — 2 citing papers" description: "2 papers of the Elamur Research library cite «BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models»…" canonical: "https://research.elamur.ai/free/en/papers/tan-2026-blend-vis-benchmarking-multimodal-cultural/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/tan-2026-blend-vis-benchmarking-multimodal-cultural/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [BLEnD-Vis: Benchmarking Multimodal Cultural…](https://md.research.elamur.ai/free/en/papers/tan-2026-blend-vis-benchmarking-multimodal-cultural/) / cited by # Who cites «BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models» 2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models»](https://md.research.elamur.ai/free/en/papers/tan-2026-blend-vis-benchmarking-multimodal-cultural/) 1. **[Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhang-2026-think-natively-unlocking-multilingual-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xue Zhang, Yunlong Liang, Fandong Meng, et al.*2026 · 11 citations* 2. **[Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-can-persona-prompted-llms-emulate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, et al.*2026* - [← back to](https://md.research.elamur.ai/free/en/papers/tan-2026-blend-vis-benchmarking-multimodal-cultural/) — BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models