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Low-Cost Language Models: Survey and Performance Evaluation on Python Code Generation
Large Language Models (LLMs) have become the go-to solution for many Natural Language Processing (NLP) tasks due to their ability to tackle various problems and produce high-quality results.
Entity Identifier: A Natural Text Parsing-based Framework For Entity Relation Extraction
The field of programming has a diversity of paradigms that are used according to the working framework.
A Comprehensive Review of State-of-The-Art Methods for Java Code Generation from Natural Language Text
In this paper, we provide a comprehensive review of the evolution and progress of deep learning models in Java code generation task.
GPT-3.5, GPT-4, or BARD? Evaluating LLMs Reasoning Ability in Zero-Shot Setting and Performance Boosting Through Prompts
Our paper provides empirical evidence showcasing the superior performance of ChatGPT-4 in comparison to both ChatGPT-3. 5 and BARD in zero-shot setting throughout almost all evaluated tasks.
JaCoText: A Pretrained Model for Java Code-Text Generation
This task consists of translating natural language instructions to a programming code.
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