🔗 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»

1. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd 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 RecommendationsConference on Empirical Methods in Natural Language Processing (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 EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
4. Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Zixin Chen, Sicheng Song, KaShun Shum, et al.2025 · 9 citations
5. POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen Xu, Liangyu Chen, Liang Zhang, et al.2026 · 2 citations
6. Arabic ChartSumm: An English-to-Arabic Benchmark for Metadata-to-Text SummarizationLanguage Resources and Evaluation Conference (LREC)Passant Elchafei, Amany Fashwan2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/rahman-2023-chartsumm-comprehensive-benchmark-automatic-chart/cited-by/