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- [2107. 03374] Evaluating Large Language Models Trained on Code
We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities A distinct production version of Codex powers GitHub Copilot
- Evaluating Large Language Models for Code Generation: Assessing . . .
In this study, we investigated three LLMs’ performance in generating code from scratch based on NLP task descriptions We employed three evaluation levels, Accuracy, Quality, and Performance, to assess the LLMs’ results
- Evaluating Large Language Models in Code Generation: INFINITE . . . - MDPI
This study introduces a new methodology for an Inference Index (InI) called the Inference Index In Testing Model Effectiveness methodology (INFINITE), aiming to evaluate the performance of Large Language Models (LLMs) in code generation tasks
- (PDF) Evaluating Large Language Models for Code Generation: A . . .
To investigate this issue, this study evaluates the performance of five state-of-the-art large language models (LLMs)GPT-4o, OpenAI o1, OpenAI o1 Pro, Claude 3 5, and Gemini 2 0through a
- Output format biases in the evaluation of large language models for . . .
These models are pre-trained on large-scale source code datasets and occasionally fine-tuned on code translation pairs LLMs offer new opportunities in code translation by enabling prompt engineering, an alternative to traditional model parameter adjustments, which leverages prompts to guide LLMs in addressing diverse tasks
- CodeJudge: Evaluating Code Generation with Large Language Models
This paper presents CodeJudge, a code evaluation framework that leverages LLMs to evaluate the semantic correctness of generated code without the need for test cases
- Evaluating Large Language Models in Code Generation
With the advancements in large language models, the possibility of fully automated code generation is coming closer Different expectations surround these models Some believe they will make programming easier and faster, while others fear they will make human programmers obsolete
- Evaluating Large Language Models Trained on Code (Codex) - Fan Pu
We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities A distinct production version of Codex powers GitHub Copilot
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