---
title: "Who cites UniChart: A Universal — 58 citing papers"
description: "58 papers of the Elamur Research library cite «UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and…"
canonical: "https://research.elamur.ai/free/en/papers/masry-2023-unichart-universal-vision-language-pretrained/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [UniChart: A Universal Vision-language Pretrained…](https://md.research.elamur.ai/free/en/papers/masry-2023-unichart-universal-vision-language-pretrained/) / cited by

# Who cites «UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning»

58 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning»](https://md.research.elamur.ai/free/en/papers/masry-2023-unichart-universal-vision-language-pretrained/)

1. [**MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts arXiv:2310.02255**Pan Lu, Hritik Bansal, Tony Xia, et al.*2023 · 441 citations*](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/)
2. [**Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling arXiv:2412.05271**Zhe Chen, Weiyun Wang, Yue Cao, et al.*2024 · 276 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-expanding-performance-boundaries-open/)
3. [**DeepSeek-VL: Towards Real-World Vision-Language Understanding arXiv:2403.05525**Haoyu Lu, Wen Liu, Bo Zhang, et al.*2024 · 201 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-deepseek-vl-real-world/)
4. **[Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset](https://md.research.elamur.ai/free/en/papers/wang-2024-measuring-multimodal-mathematical-reasoning-math/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Ke Wang, Junting Pan, Weikang Shi, et al.*2024 · 198 citations*
5. **[MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2024-mmc-advancing-multimodal-chart-understanding/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, et al.*2024 · 83 citations*
6. **[Arabic ChartSumm: An English-to-Arabic Benchmark for Metadata-to-Text Summarization](https://md.research.elamur.ai/free/en/papers/elchafei-2026-arabic-chartsumm-english-arabic-benchmark/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Passant Elchafei, Amany Fashwan*2026*
7. **[Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation](https://md.research.elamur.ai/free/en/papers/song-2026-assessing-y-axis-influence-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapong*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/masry-2023-unichart-universal-vision-language-pretrained/) — UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning