🧑‍🔬 Swakkhar Shatabda

🏛️ Affiliations

🎓BRAC UniversityDhaka · Bangladesh2024–2026 · 53 papersEmploymentcurrent🎓United International UniversityDhaka · Bangladesh2014–2024 · 139 papers🎓Griffith UniversityBrisbane · Australia2012–2014 · 10 papers🔬Data61Sydney · Australia2012–2014 · 9 papers🔬Centre for Artificial Intelligence and RoboticsBengaluru · India2023 · 3 papers🎓Bangladesh University of Engineering and TechnologyDhaka · Bangladesh2007–2015 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. 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.
2. Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and Domains (2026 · 1 citation)
   The paper asks whether open-source LLMs that translate fluently also translate fairly across language families, translation directions and specialised domains.
3. 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.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. MathMist: A Parallel Multilingual Benchmark Dataset for Mathematical Problem Solving and ReasoningFindings of the Association for Computational LinguisticsMahbub E Sobhani, Md. Faiyaz Abdullah Sayeedi, Tasnim Mohiuddin, et al.2026 · 3 citations
2. Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and DomainsFindings of the Association for Computational LinguisticsMd. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, et al.2026 · 1 citation
3. Do Multi-Agents Solve Better Than Single? Evaluating Agentic Frameworks for Diagram-Grounded Geometry Problem Solving and ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Mahbub E Sobhani, Md. Faiyaz Abdullah Sayeedi, Mohammad Nehad Alam, et al.2026
4. Do Small Models Use the Law You Give Them? Measuring Context Use on a Bilingual Bangladesh Legal Benchmark ↗arXiv:2608.30327 · no summary yetMoniruzzaman Mahadi et al.2026
5. Do Small Models Use the Law You Give Them? Context-Injected Fine-Tuning for Legal QA in Bangladesh ↗arXiv:2607.23446 · no summary yetMoniruzzaman Mahadi et al.2026

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Md. Faiyaz Abdullah Sayeedi ×3
• Mahbub E Sobhani ×2
• Md Mofijul Islam ×2
• Tasnim Mohiuddin ×2
• Subhey Sadi Rahman

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026

🔗 Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026

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