Ahmed Masry
Ahmed Masry has 3 papers in our library, in 2022–2023, most of them on Evaluation & benchmarks, Reasoning, Question answering; often with Enamul Hoque, Shafiq Joty, Xiang Lin.
OpenAlex · h-index 7 · 47 works · 646 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 534 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #2172
Affiliations
Concepts, shelves and topics
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 works
🧭 Topics 5Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksReasoning · 2 worksQuestion answering · 1 workSummarization · 1 workVision & language · 1 work
Works by year
2020s
Papers
- ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning (2022 · 745 citations)
Answering questions about charts often takes several steps: reading values off the chart, comparing them, doing arithmetic, and recognising visual features such as colours or peaks. - Chart-to-Text: A Large-Scale Benchmark for Chart Summarization (2022 · 161 citations)
The paper addresses automatic chart summarization: producing natural-language text that explains the main takeaways of a chart. - UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning (2023 · 119 citations)
Answering questions about charts, summarizing them, or recovering their data requires a model that understands how bars, lines, labels and legends relate to each other.
All works
- ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningFindings of the Association for Computational LinguisticsAhmed Masry, Do Xuan Long, Jia Qing Tan, et al.2022 · 745 citations
- Chart-to-Text: A Large-Scale Benchmark for Chart SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shankar Kantharaj, Rixie Tiffany Leong, Xiang Lin, et al.2022 · 161 citations
- UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, et al.2023 · 119 citations
- ChartGemma: Visual Instruction-tuning for Chart Reasoning in the WildarXiv:2407.04172 · original ↗ · no summary yetAhmed Masry et al.2024 · 31 citations
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2022
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2023
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2022
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/ahmed-masry/