Výsledky vyhledávání - "Islam, Mohammed A"

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Natural Language Generation for Visualizations: State of the Art, Challenges and Future Directions

Autor: Hoque, Enamul, Islam, Mohammed Saidul

Natural language and visualization are two complementary modalities of human communication that play a crucial role in conveying information effectively. While visualizations help people discover trends, patterns, and anomalies in data, natural langu

Externí odkaz: http://arxiv.org/abs/2409.19747

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DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts

Autor: Islam, Mohammed Saidul, Laskar, Md Tahmid Rahman, Parvez, Md Rizwan, Hoque, Enamul, Joty, Shafiq

Data-driven storytelling is a powerful method for conveying insights by combining narrative techniques with visualizations and text. These stories integrate visual aids, such as highlighted bars and lines in charts, along with textual annotations exp

Externí odkaz: http://arxiv.org/abs/2408.05346

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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

Autor: Islam, Mohammed Saidul, Rahman, Raian, Masry, Ahmed, Laskar, Md Tahmid Rahman, Nayeem, Mir Tafseer, Hoque, Enamul

Natural language is a powerful complementary modality of communication for data visualizations, such as bar and line charts. To facilitate chart-based reasoning using natural language, various downstream tasks have been introduced recently such as ch

Externí odkaz: http://arxiv.org/abs/2406.00257

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BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP

Autor: Kabir, Mohsinul, Islam, Mohammed Saidul, Laskar, Md Tahmid Rahman, Nayeem, Mir Tafseer, Bari, M Saiful, Hoque, Enamul

Large Language Models (LLMs) have emerged as one of the most important breakthroughs in NLP for their impressive skills in language generation and other language-specific tasks. Though LLMs have been evaluated in various tasks, mostly in English, the

Externí odkaz: http://arxiv.org/abs/2309.13173

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A Structural Equation Modeling Approach to Understand User's Perceptions of Acceptance of Ride-Sharing Services in Dhaka City

Autor: Sourav, Md. Mohaimenul Islam, Islam, Mohammed Russedul, Kays, H M Imran, Hadiuzzaman, Md.

This research aims at building a multivariate statistical model for assessing users' perceptions of acceptance of ride-sharing services in Dhaka City. A structured questionnaire is developed based on the users' reported attitudes and perceived risks.

Externí odkaz: http://arxiv.org/abs/2210.04086

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