9 citations · 16 across the 9 of their papers we have counts for
9 papers
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…
Code LLMs: A Taxonomy-based Survey
Nishat Raihan, Christian Newman, Marcos Zampieri
Large language models (LLMs) have demonstrated remarkable capabilities across various NLP tasks and have recently expanded their impact to coding tasks, bridging the gap between na…
MojoBench: Language Modeling and Benchmarks for Mojo
Nishat Raihan, Joanna C. S. Santos, Marcos Zampieri
The recently introduced Mojo programming language (PL) by Modular, has received significant attention in the scientific community due to its claimed significant speed boost over Py…
Large Language Models in Computer Science Education: A Systematic Literature Review
Nishat Raihan, Mohammed Latif Siddiq, Joanna C. S. Santos +1
Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation and understanding. Recently, these…
mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code Generation
Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri
Recent advancements in large language models (LLMs) have significantly enhanced code generation from natural language prompts. The HumanEval Benchmark, developed by OpenAI, remains…