--- title: "Who cites ChartGemma: Visual — 32 citing papers" description: "32 papers of the Elamur Research library cite «ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild», found in their…" canonical: "https://research.elamur.ai/free/en/papers/masry-2024-chartgemma-visual-instruction-tuning-chart/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/masry-2024-chartgemma-visual-instruction-tuning-chart/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ChartGemma: Visual Instruction-tuning for Chart…](https://md.research.elamur.ai/free/en/papers/masry-2024-chartgemma-visual-instruction-tuning-chart/) / cited by # Who cites «ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild» 32 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild»](https://md.research.elamur.ai/free/en/papers/masry-2024-chartgemma-visual-instruction-tuning-chart/) 1. [**Baichuan-Omni-1.5 Technical Report arXiv:2501.15368**Yadong Li, Jun Liu, Tao Zhang, et al.*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-baichuan-omni-1-5/) 2. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations* 3. **[ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering](https://md.research.elamur.ai/free/en/papers/kaur-2026-chartagent-multimodal-agent-visually-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rachneet Kaur, Nishan Srishankar, Zhen Zeng, et al.*2026 · 5 citations* 4. **[ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch](https://md.research.elamur.ai/free/en/papers/liu-2026-chartverse-scaling-chart-reasoning-reliable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zheng Liu, Honglin Lin, Xiaoyang Wang, et al.*2026 · 5 citations* 5. **[FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/shu-2026-finchart-bench-benchmarking-financial-chart/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dong Shu, Haoyang Yuan, Yuchen Wang, et al.*2026 · 3 citations* 6. **[Protecting multimodal large language models against misleading visualizations](https://md.research.elamur.ai/free/en/papers/tonglet-2026-protecting-multimodal-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonathan Tonglet, Tinne Tuytelaars, Marie-Francine Moens, et al.*2026 · 3 citations* 7. **[POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering](https://md.research.elamur.ai/free/en/papers/xu-2026-polychartqa-benchmarking-large-vision-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yichen Xu, Liangyu Chen, Liang Zhang, et al.*2026 · 2 citations* 8. **[MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2026-mever-multi-modal-explainable-claim/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Delvin Ce Zhang, Suhan Cui, Zhelin Chu, et al.*2026 · 1 citation* 9. **[Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization](https://md.research.elamur.ai/free/en/papers/rahman-2026-aligning-text-code-vision-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mizanur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, et al.*2026* 10. **[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* 11. **[Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions](https://md.research.elamur.ai/free/en/papers/zhou-2026-automatic-slide-updating-user-defined/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kun Zhou, Jiakai He, Wenmian Yang, et al.*2026* 12. **[ChartDiff: A Large-Scale Benchmark for Comprehending Pairs of Charts](https://md.research.elamur.ai/free/en/papers/ye-2026-chartdiff-large-scale-benchmark-comprehending/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Rongtian Ye*2026* 20 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/masry-2024-chartgemma-visual-instruction-tuning-chart/) — ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild