Papers by Nishat Raihan
CodeGuard: Improving LLM Guardrails in CS Education (2026.findings-eacl)
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| Challenge: | Large language models (LLMs) are increasingly embedded in Computer Science classrooms to automate code generation, feedback, and assessment. |
| Approach: | They propose a guardrail framework for educational AI systems that can handle unsafe and irrelevant prompts. |
| Outcome: | The proposed framework reduces potentially harmful or policy-violating code completions by 30-65% without degrading performance on legitimate educational tasks. |
TigerLLM - A Family of Bangla Large Language Models (2025.acl-short)
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| Challenge: | linguistic disparity is particularly evident for Bangla, the 5th most spoken language . open-source Bangla LLMs have limited reproducibility and performance gaps . |
| Approach: | They propose a family of Bangla LLMs that outperform open-source alternatives and benchmarks and establish a new benchmark for future Bangla language modeling. |
| Outcome: | The proposed models outperform existing models and outperformed proprietary models across six benchmarks. |
MentalHelp: A Multi-Task Dataset for Mental Health in Social Media (2024.lrec-main)
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Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Shafkat Farabi, Ana-Maria Bucur, Tharindu Ranasinghe, Marcos Zampieri
| Challenge: | Annotating social media data for mental health disorders is expensive and time-consuming, limiting their size and scope. |
| Approach: | They present a large-scale semi-supervised mental disorder detection dataset containing 14 million instances from Reddit and an ensemble of three separate models. |
| Outcome: | The proposed dataset contains 14 million instances of mental disorders . it was collected from reddit and labeled in a semi-supervised way . |