🔗 Who cites «SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs»

31 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs»

1. HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.2023 · 335 citations
2. DeepSeek-VL: Towards Real-World Vision-Language UnderstandingarXiv:2403.05525Haoyu Lu, Wen Liu, Bo Zhang, et al.2024 · 208 citations
3. CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Zirui Wang, Mengzhou Xia, Luxi He, et al.2024 · 119 citations
4. MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction TuningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, et al.2024 · 86 citations
5. FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dong Shu, Haoyang Yuan, Yuchen Wang, et al.2026 · 3 citations
6. ChartDiff: A Large-Scale Benchmark for Comprehending Pairs of ChartsWorkshop on Advances in Language and Vision Research (ALVR)Rongtian Ye2026
7. Datasets for Scientific Literature Understanding: A SurveyFindings of the Association for Computational LinguisticsYuanzhe Zhang, Xun Zhao, Maodi Hu, et al.2026

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

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