最后,扩展了代码生成模型的更广泛影响,并讨论了模型的局限性,找到了很大的改进空间。 参考文献 Chen M, Tworek J, Jun H, et al. Evaluating large language models trained on code[J]. arXiv preprint arXiv:2107.03374, 2021. 发布于 2023-04-06 21:33・广东...
Section 5. Docstring Generation 还是采用Section 4中的数据集,我们训练了一个新的模型Codex-D,在给定code的情况下,生成对应的docstring。为了评估该模型的效果,我们采用了人工评估的方式——每个problem,生成10个docstring,然后人工标注。效果如下: Section 6. Limitations 训练的样本效率太低,对于人类而言,要达到Codex...
OpenAI Codex Software & Engineering Transformers Compute Scaling Language Generative Models Authors Mark Chen,Jerry Tworek,Heewoo Jun,Qiming Yuan,Henrique Pondé,Jared Kaplan,Harri Edwards,Yura Burda,Nicholas Joseph,Greg Brockman,Alex Ray,Raul Puri,Gretchen Krueger,Michael Petrov,Heidy Khlaaf ...
evaluating large language models trained on code顺理成章的,把模型做的再大一点,训练数据集做的再大一些,计算资源再多一些,就可以生成更长的代码。这篇文章做的事情就是把GPT模型应用在代码生成上,具体来说输入函数的签名和注释(prompt),告诉模型这个函数要做什么事情,然后模型输出实现代码。 这里有三个示例,...
the base models. Third, we disclose the types of failure modes that exist in our evaluation results. All these results underscore the need for further advancements in self-invoking code generation tasks and provide a new direction for future research on enhancing LLMs' code reasoning capabilities....
Meet BigCodeBench by BigCode: The New Gold Standard for Evaluating Large Language Models on Real-World Coding Tasks
Large language models (LLMs) have been utilized to automate tasks like writing discharge summaries and operative reports in neurosurgery. The present study evaluates their ability to identify current procedural terminology (CPT) codes from operative reports. Three LLMs (ChatGPT 4.0, AtlasGPT and ...
Paper tables with annotated results for HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation
This is an evaluation harness for the HumanEval problem solving dataset described in the paper "Evaluating Large Language Models Trained on Code". Installation Make sure to use python 3.7 or later: $ conda create -n codex python=3.7 $ conda activate codex ...
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue—a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to ...