---
title: "Who cites ChartSumm: A Comprehensive — 17 citing papers"
description: "17 papers of the Elamur Research library cite «ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and…"
canonical: "https://research.elamur.ai/free/en/papers/rahman-2023-chartsumm-comprehensive-benchmark-automatic-chart/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ChartSumm: A Comprehensive Benchmark for…](https://md.research.elamur.ai/free/en/papers/rahman-2023-chartsumm-comprehensive-benchmark-automatic-chart/) / cited by

# Who cites «ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries»

17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries»](https://md.research.elamur.ai/free/en/papers/rahman-2023-chartsumm-comprehensive-benchmark-automatic-chart/)

1. **[A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.*2023 · 200 citations*
2. **[A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations](https://md.research.elamur.ai/free/en/papers/laskar-2024-systematic-survey-critical-review-evaluating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.*2024 · 105 citations*
3. **[Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Steffen Eger, Yong Cao, Jennifer D'Souza, et al.*2025 · 25 citations*
4. **[Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering](https://md.research.elamur.ai/free/en/papers/chen-2025-unmasking-deceptive-visuals-benchmarking-multimodal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zixin Chen, Sicheng Song, KaShun Shum, et al.*2025 · 9 citations*
5. **[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*
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*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/rahman-2023-chartsumm-comprehensive-benchmark-automatic-chart/) — ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries