Mizanur Rahman
Mizanur Rahman has 3 papers in our library, in 2023–2026, most of them on Evaluation & benchmarks, Language models & pretraining; often with Md Tahmid Rahman Laskar, Shafiq Joty, Enamul Hoque.
OpenAlex · ORCID · Wikidata · h-index 21 · 88 works · 1,563 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 150 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4920
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works
🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets (2023 · 200 citations)
When ChatGPT appeared, nobody had tested it systematically on standard academic NLP benchmarks. Its free-form conversational answers are hard to score automatically against gold labels. The authors ran a broad zero-shot evaluation covering 140 benchmark datasets and about 255K generated responses. The tasks included… - A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations (2024 · 105 citations)
LLM evaluation results often conflict across studies because each study sets up its experiments differently. - Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization (2026)
Text-to-visualization (Text2Vis) means taking a data table and a natural-language question and producing both a short textual answer and executable plotting code.
All works
- A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
- A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
- Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps ↗arXiv:2505.18426 · no summary yetKhandakar Ashrafi Akbar et al.2025 · 3 citations
- Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-VisualizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Mizanur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, et al.2026
Co-authors here
- Md Tahmid Rahman Laskar ×3
- Shafiq Joty ×3
- Enamul Hoque ×2
- M Saiful Bari ×2
- Jimmy Xiangji Huang
- Md Rizwan Parvez
- Mohammad Abdullah Matin Khan
- Mohammed Saidul Islam
- Sawsan Alqahtani
Venues
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2024
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
Cited by
Updated
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