Mohammed Saidul Islam

According to our database, Mohammed Saidul Islam authored at least 20 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models.

Mohammed Saidul Islam, Negin Baghbanzadeh, Farnaz Kohankhaki, Afshin Cheraghi, Ali Kore, Shayaan Mehdi, Elham Dolatabadi, Arash Afkanpour

CoRR, May, 2026

Lost in Translation: Do LVLM Judges Generalize Across Languages?

Md. Tahmid Rahman Laskar, Mohammed Saidul Islam, Mir Tafseer Nayeem, Amran Bhuiyan, Mizanur Rahman, Shafiq Joty, Enamul Hoque, Jimmy Huang

CoRR, April, 2026

BanglaSummEval: Reference-Free Factual Consistency Evaluation for Bangla Summarization.

Ahmed Rafid, Rumman Adib, Fariya Ahmed, Ajwad Abrar, Mohammed Saidul Islam

CoRR, February, 2026

Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization.

Mizanur Rahman, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Shafiq Joty, Enamul Hoque

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards.

Aaryaman Kartha, Ahmed Masry, Mohammed Saidul Islam, Thinh Lang, Shadikur Rahman, Ridwan Mahbub, Mizanur Rahman, Mahir Ahmed, Md. Rizwan Parvez, Enamul Hoque, Shafiq Joty

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions.

Mizanur Rahman, Amran Bhuiyan, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Ridwan Mahbub, Ahmed Masry, Shafiq Joty, Enamul Hoque

CoRR, October, 2025

The Perils of Chart Deception: How Misleading Visualizations Affect Vision-Language Models.

Ridwan Mahbub, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Mizanur Rahman, Mir Tafseer Nayeem, Enamul Hoque

CoRR, August, 2025

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

Enamul Hoque, Mohammed Saidul Islam

Comput. Graph. Forum, February, 2025

From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text.

Ridwan Mahbub, Mohammed Saidul Islam, Mir Tafseer Nayeem, Md. Tahmid Rahman Laskar, Mizanur Rahman, Shafiq Joty, Enamul Hoque

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices.

Md. Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Mizanur Rahman, Amran Bhuiyan, Israt Jahan, Mir Tafseer Nayeem, Shafiq Joty, Enamul Hoque, Jimmy Huang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering.

Ahmed Masry, Mohammed Saidul Islam, Mahir Ahmed, Aayush Bajaj, Firoz Kabir, Aaryaman Kartha, Md. Tahmid Rahman Laskar, Mizanur Rahman, Shadikur Rahman, Mehrad Shahmohammadi, Megh Thakkar, Md. Rizwan Parvez, Enamul Hoque, Shafiq Joty

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?

Md. Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Ahmed Masry, Mizanur Rahman, Amran Bhuiyan, Mir Tafseer Nayeem, Shafiq Joty, Enamul Hoque, Jimmy Huang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2024

Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs.

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

CoRR, 2024

Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BenLLM-Eval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP.

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

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

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

CoRR, 2023

Multihop Factual Claim Verification Using Natural Language Prompts.

Md Mezbaur Rahman, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Md Azam Hossain, Abu Raihan Mostofa Kamal

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal.

Mohammed Saidul Islam, Iqram Hussain, Md Mezbaur Rahman, Se Jin Park, Md Azam Hossain

Sensors, 2022

BanglaRQA: A Benchmark Dataset for Under-resourced Bangla Language Reading Comprehension-based Question Answering with Diverse Question-Answer Types.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022