6 papers
A Taxonomy of Programming Languages for Code Generation
Nishat Raihan, Christian Newman, Marcos Zampieri
The world's 7,000+ languages vary widely in the availability of resources for NLP, motivating efforts to systematically categorize them by their degree of resourcefulness (Joshi et…
Temporal Text Classification with Large Language Models
Nishat Raihan, Marcos Zampieri
Languages change over time. Computational models can be trained to recognize such changes enabling them to estimate the publication date of texts. Despite recent advancements in La…
Large Language Models for Mental Health: A Multilingual Evaluation
Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur +2
Large Language Models (LLMs) have remarkable capabilities across NLP tasks. However, their performance in multilingual contexts, especially within the mental health domain, has not…
CodeGuard: Improving LLM Guardrails in CS Education
Nishat Raihan, Noah Erdachew, Jayoti Devi +2
Large language models (LLMs) are increasingly embedded in Computer Science (CS) classrooms to automate code generation, feedback, and assessment. However, their susceptibility to a…
TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla
Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri
Despite being the 5th most spoken language, Bangla remains underrepresented in Large Language Models (LLMs), particularly for code generation. This primarily stems from the scarcit…
TigerLLM - A Family of Bangla Large Language Models
Nishat Raihan, Marcos Zampieri
The development of Large Language Models (LLMs) remains heavily skewed towards English and a few other high-resource languages. This linguistic disparity is particularly evident fo…