Mahbub E Sobhani
Mahbub E Sobhani has 3 papers in our library, in 2026, most of them on Evaluation & benchmarks, Reasoning, Multilingual & cross-lingual NLP; often with Md. Faiyaz Abdullah Sayeedi, Swakkhar Shatabda, Md Mofijul Islam.
OpenAlex · ORCID · h-index 4 · 23 works · 120 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10836
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work
🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 3 worksReasoning · 2 worksMultilingual & cross-lingual NLP · 1 workMorphology · 1 work
Works by year
2020s
Papers
- MathMist: A Parallel Multilingual Benchmark Dataset for Mathematical Problem Solving and Reasoning (2026 · 3 citations)
Most benchmarks for LLM mathematical reasoning are English-centric or cover only a few high-resource languages. - Do Multi-Agents Solve Better Than Single? Evaluating Agentic Frameworks for Diagram-Grounded Geometry Problem Solving and Reasoning (2026)
The paper asks whether splitting diagram-based geometry solving across several agents actually beats a single multimodal model, a question earlier work left largely unexamined. - Meaning Over Morphology: A Multi-Metric Benchmark of LLMs for Bangla Dialect Translation (2026)
Bangla regional dialects such as Sylheti and Chittagonian differ from standard Bangla so much that they can approach mutual unintelligibility.
Co-authors here
- Md. Faiyaz Abdullah Sayeedi ×2
- Swakkhar Shatabda ×2
- Md Mofijul Islam
- Subhey Sadi Rahman
- Tasnim Mohiuddin
Venues
- Workshop on Dialects in NLP –- A Resource Perspective: Workshop on Dialects in NLP –- A Resource Perspective 2026
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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