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Author

M Saiful Bari

Observed names: Bari, M Saiful, Bari, M. Saiful
OpenAlex ID: A5006686579
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
2023 · Scao, Teven Le, Fan, Angela, et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 647
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Crosslingual Generalization through Multitask Finetuning
2023 · Niklas Muennighoff, Thomas Wang, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 361
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
2022 · Workshop, BigScience, :, et al. · arXiv (Cornell University) · 286
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PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
2022 · Stephen Bach, Victor Sanh, et al. · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) · 177
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A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
2023 · Md Tahmid Rahman Laskar, M Saiful Bari, et al. · 97
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A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
2024 · Md Tahmid Rahman Laskar, Sawsan Alqahtani, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 66
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What Language Model to Train if You Have One Million GPU Hours?
2022 · Teven Le Scao, Thomas Wang, et al. · 33
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Crosslingual Generalization through Multitask Finetuning
2022 · Muennighoff, Niklas, Wang, Thomas, et al. · arXiv (Cornell University) · 28
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When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
2024 · Norah Alzahrani, Hisham Alyahya, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 23
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PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
2022 · Bach, Stephen H., Sanh, Victor, et al. · arXiv (Cornell University) · 21
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xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
2023 · Khan, Mohammad Abdullah Matin, Bari, M Saiful, et al. · arXiv (Cornell University) · 13
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BenLLM-Eval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP
2024 · Mohsinul Kabir, Mohammed Saidul Islam, et al. · Language Resources and Evaluation Conference (LREC) · 9
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What Language Model to Train if You Have One Million GPU Hours?
2022 · Scao, Teven Le, Wang, Thomas, et al. · arXiv (Cornell University) · 9
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ALLaM: Large Language Models for Arabic and English
2024 · Bari, M Saiful, Alnumay, Yazeed, et al. · arXiv (Cornell University) · 5
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SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning
2022 · Bari, M Saiful, Zhang, Aston, et al. · arXiv (Cornell University) · 3
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A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
2024 · Laskar, Md Tahmid Rahman, Alqahtani, Sawsan, et al. · arXiv (Cornell University) · 2
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When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
2024 · Alzahrani, Norah, Alyahya, Hisham Abdullah, et al. · arXiv (Cornell University) · 2
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Redteaming Leading Arabic LLMs with ASAS
2026 · Abed, Fidaa, Khan, Haidar, et al. · arXiv (Cornell University)
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The Pandemic of AI Agents: A Recursive Stewardship Framework
2026 · Islam, Muhammad Usama, Bari, M Saiful, et al. · Journal of the Association for Information Systems
MoE Routing Testbed: Studying Expert Specialization and Routing Behavior at Small Scale
2026 · Falke, Tobias, Anastassacos, Nicolas, et al. · arXiv (Cornell University)
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Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models
2026 · Alqahtani, Sawsan, Nayeem, Mir Tafseer, et al. · arXiv (Cornell University)
Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models
2026 · Alqahtani, Sawsan, Nayeem, Mir Tafseer, et al. · arXiv (Cornell University)
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A benchmark of expert-level academic questions to assess AI capabilities
2026 · Center for AI Safety, Phan, Long, et al. · RWTH Publications (RWTH Aachen)
Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models
2026 · Sawsan Alqahtani, Mir Tafseer Nayeem, et al. · Conference of the European Chapter of the Association for Computational Linguistics
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ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition
2025 · Khan, Haidar, Alyahya, Hisham A., et al. · arXiv (Cornell University)
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Works count: 28
Citation count: 1,782
H-index: 11
I10-index: 11
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