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Large language models in computer science education: A systematic literature review
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 …
Language Processing tasks (NLP), such as text generation and understanding. Recently …
Mojobench: Language modeling and benchmarks for mojo
The recently introduced Mojo programming language (PL) by Modular, has received
significant attention in the scientific community due to its claimed significant speed boost …
significant attention in the scientific community due to its claimed significant speed boost …
mHumanEval--A Multilingual Benchmark to Evaluate Large Language Models for Code Generation
Recent advancements in large language models (LLMs) have significantly enhanced code
generation from natural language prompts. The HumanEval Benchmark, developed by …
generation from natural language prompts. The HumanEval Benchmark, developed by …
Code LLMs: A Taxonomy-based Survey
Large language models (LLMs) have demonstrated remarkable capabilities across various
NLP tasks and have recently expanded their impact to coding tasks, bridging the gap …
NLP tasks and have recently expanded their impact to coding tasks, bridging the gap …
On the performance of large language models on introductory programming assignments
Recent advances in artificial intelligence (AI), machine learning (ML), and natural language
processing (NLP) have led to the development of a new generation of Large Language …
processing (NLP) have led to the development of a new generation of Large Language …