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Ahmed Masry

ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning
2022 · Ahmed Masry, Do Long, et al. · Findings of the Association for Computational Linguistics: ACL 2022 · 383
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Chart-to-Text: A Large-Scale Benchmark for Chart Summarization
2022 · Shankar Kantharaj, Rixie Tiffany Leong, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 91
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Chain FL: Decentralized Federated Machine Learning via Blockchain
2020 · Caner Korkmaz, Halil Eralp Kocas, et al. · International Conference on Blockchain Computing and Applications (BCCA) · 84
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning
2023 · Ahmed Masry, Parsa Kavehzadeh, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 65
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ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
2024 · Ahmed Masry, Mehrad Shahmohammadi, et al. · 26
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ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
2025 · Ahmed Masry, Mohammed Saidul Islam, et al. · 19
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning
2024 · Mohammed Saidul Islam, Raian Rahman, et al. · 11
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Chart-to-Text: A Large-Scale Benchmark for Chart Summarization
2022 · Kantharaj, Shankar, Leong, Rixie Tiffany Ko, et al. · arXiv (Cornell University) · 8
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Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization
2023 · Do, Xuan Long, Hassanpour, Mohammad, et al. · arXiv (Cornell University) · 5
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AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
2025 · Ahmed Masry, Juan Rodriguez, et al. · neural information processing systems · 4
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Colflor: Towards Bert-Size Vision-Language Document Retrieval Models
2025 · Ahmed Masry, Enamul Hoque · IEEE International Workshop on Machine Learning for Signal Processing (MLSP) · 2
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
2025 · Md Tahmid Rahman Laskar, Mohammed Saidul Islam, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 2
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ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval
2025 · Ahmed Masry, Megh Thakkar, et al. · Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP) · 2
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LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents
2024 · Masry, Ahmed, Hajian, Amir · arXiv (Cornell University) · 2
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ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
2025 · Masry, Ahmed, Islam, Mohammed Saidul, et al. · arXiv (Cornell University) · 1
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Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs
2024 · Islam, Mohammed Saidul, Rahman, Raian, et al. · arXiv (Cornell University) · 1
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DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards
2026 · Association for Computational Linguistics 2026, Ahmed, Mahir, et al. · Underline Science Inc.
Multimodal Large Language Models for Human-AI Interaction: Foundations, Agents, and Inclusive Applications
2026 · Shafiq Joty, Enamul Hoque, et al. · Conference of the European Chapter of the Association for Computational Linguistics
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DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards
2026 · Aaryaman Kartha, Ahmed Masry, et al. · Findings of the Association for Computational Linguistics: EACL
ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval
2025 · Masry, Ahmed, Thakkar, Megh, et al. · arXiv (Cornell University)
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Scope: Selective Cross-modal Orchestration of Visual Perception Experts
2025 · Zhang, Tianyu, Wang, Suyuchen, et al. · arXiv (Cornell University)
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LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions
2025 · Rahman, Mizanur, Bhuiyan, Amran, et al. · arXiv (Cornell University)
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Improving GUI Grounding with Explicit Position-to-Coordinate Mapping
2025 · Wang, Suyuchen, Zhang, Tianyu, et al. · arXiv (Cornell University)
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Apriel-1.5-15b-Thinker
2025 · Radhakrishna, Shruthan, Tiwari, Aman, et al. · arXiv (Cornell University)
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Learning or Cheating? Assessing Data Contamination in Large Vision-Language Models
2025 · Ahmed Masry, Mahir Ahmed, et al. · IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
Works count: 47
Citation count: 707
H-index: 8
I10-index: 7
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