9 citations · 16 across the 9 of their papers we have counts for
4 papers · 1 filter
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…