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Mohammed Saidul Islam
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2020 – today
- 2024
- [c5]Mohsinul Kabir, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, M. Saiful Bari, Enamul Hoque:
BenLLM-Eval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP. LREC/COLING 2024: 2238-2252 - [c4]Mohammed Saidul Islam, Raian Rahman, Ahmed Masry, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, Enamul Hoque:
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning. EMNLP (Findings) 2024: 3334-3368 - [c3]Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty:
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts. EMNLP 2024: 19253-19286 - [i4]Mohammed Saidul Islam, Raian Rahman, Ahmed Masry, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, Enamul Hoque:
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs. CoRR abs/2406.00257 (2024) - [i3]Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Md. Rizwan Parvez, Enamul Hoque, Shafiq Joty:
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts. CoRR abs/2408.05346 (2024) - [i2]Enamul Hoque, Mohammed Saidul Islam:
Natural Language Generation for Visualizations: State of the Art, Challenges and Future Directions. CoRR abs/2409.19747 (2024) - 2023
- [c2]Md Mezbaur Rahman, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Md Azam Hossain, Abu Raihan Mostofa Kamal:
Multihop Factual Claim Verification Using Natural Language Prompts. Canadian AI 2023 - [i1]Mohsinul Kabir, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, M. Saiful Bari, Enamul Hoque:
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP. CoRR abs/2309.13173 (2023) - 2022
- [j1]Mohammed Saidul Islam, Iqram Hussain, Md Mezbaur Rahman, Se Jin Park, Md Azam Hossain:
Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal. Sensors 22(24): 9859 (2022) - [c1]Syed Mohammed Sartaj Ekram, Adham Arik Rahman, Md. Sajid Altaf, Mohammed Saidul Islam, Mehrab Mustafy Rahman, Md Mezbaur Rahman, Md Azam Hossain, Abu Raihan Mostofa Kamal:
BanglaRQA: A Benchmark Dataset for Under-resourced Bangla Language Reading Comprehension-based Question Answering with Diverse Question-Answer Types. EMNLP (Findings) 2022: 2518-2532
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