Nishat Raihan
Nishat Raihan has 4 papers in our library, in 2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Code & programming languages; often with Marcos Zampieri, Ana-Maria Bucur, Antonios Anastasopoulos.
OpenAlex · ORCID · h-index 5 · 26 works · 56 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #9260
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 2 worksPsychology · 1 workSocial Psychology · 1 workComputer Science Applications · 1 work
🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksCode & programming languages · 1 workMultilingual & cross-lingual NLP · 1 workSemitic languages · 1 work
Works by year
2020s
Papers
- TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla (2026 · 13 citations)
Bangla has more than 242 million native speakers, yet LLMs handle programming requests written in it poorly. - Large Language Models for Mental Health: A Multilingual Evaluation (2026 · 4 citations)
Most work on LLMs for mental health text uses English data, so it is unclear how these models perform on languages other than English. - CodeGuard: Improving LLM Guardrails in CS Education (2026)
LLM coding assistants are spreading in Computer Science classrooms. They can be pushed into producing material that undermines learning, such as complete graded solutions, or into writing dangerous software like ransomware or data-wiping scripts. The authors find that general-purpose filters such as LLaMA Guard and… - Temporal Text Classification with Large Language Models (2026)
Temporal Text Classification (TTC) estimates the period in which a document was written. It helps organise large historical collections in digital humanities and information retrieval. Earlier work mostly relied on statistical classifiers built on hand-crafted stylistic and n-gram features. This paper is the first…
Co-authors here
- Marcos Zampieri ×4
- Ana-Maria Bucur
- Antonios Anastasopoulos
- Sadiya Sayara Chowdhury Puspo
- Stevie Chancellor
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Workshop on Language Models for Low-Resource Languages: Workshop on Language Models for Low-Resource Languages 2026
- Language Resources and Evaluation Conference (LREC): LREC 2026
- International Conference on Natural Language Processing for the Digital Humanities: International Conference on Natural Language Processing for the Digital Humanities 2026
Cited by
Updated
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