This hand-crafted dataset, consisting of 164 programming challenges, and the novel evaluation metric, designed to assess the functional correctness of the generated code, have revolutionized how we measure the
4.2.1 Evaluation on Code Generation Task HumanEval和MBPP是代码生成任务的两个代表性基准,模型应该根据函数签名和问题的文档生成完整的代 码。表3 显示了不同LLM模型在这两个基准上的Pass@1分数。根据结果,我们有以下观察: 与训练数据少于20K的指导模型(InsT Data)相比,WaveCoder模型表现出色。 经过微调过程后...
Code generationPre-trained large language models (LLMs) are increasingly used in software development for code generation, with a preference for private LLMs over public ones to avoid the risk of exposing corporate secrets. Validating the stability of these LLMs' outputs is crucial, and our ...
HumanEvalwas developed by OpenAI as an evaluation dataset specifically designed for large language models. It serves as a reference benchmark for evaluating LLMs on code generation tasks, focusing on the models' ability to comprehend language, reason, and solve problems related to algorithms and sim...
CodeLLM Evaluator provide the ability for fast and efficiently evaluation on code generation task. Inspired bylm-evaluation-harnessandbigcode-eval-harness, we designed our framework for multiple use-case, easy to add new metrics and customized task. ...
4 评估(EVALUATION) 4.1 实验设置(Experiment Setup) 4.2 RQ1:自我协作与基线(RQ1: Self-collaboration vs. Baselines) 4.3 RQ2:角色在自我协作中的作用(RQ2: The Effect of Roles in Self-collaboration) 4.4 RQ3:不同 LLM 的自协作(RQ3: Self-collaboration on Different LLMs) 4.5 RQ4:相互作用的影响...
bash codefuseEval/script/generation.sh CodeFuse-13B humaneval_python result/test.jsonl python 如果你想进行代码翻译评测,传入的语言参数为当前待翻译的代码语言,例如: 如果你想将C++代码翻译为Python代码,传入代码语言为CPP,如 bash codefuseEval/script/generation.sh CodeFuse-CodeLlama-34B codeTrans_cpp_to...
Consider the example of an LLM that has been fine-tuned for programming code generation, which your software team has adopted for use in its application development. How confident are you that the training data used to fine-tune that LLM is trustworthy? Is it possible that the training dat...
CodeFuse-MFTCoder: Multitask Fine-Tuned Code LLMs 4 57 9 codefuse-devops-eval A DevOps Domain Knowledge Evaluation Benchmark for Large Language Models 2 6 1 codefuse-chatbot 本项目是一个开源的 AI 智能助手,专为软件开发的全生命周期而设计,涵盖设计、编码、测试、部署和运维等阶段。
✨Precise evaluation: Seeour leaderboardfor latest LLM rankings before & after rigorous evaluation. ✨Coding rigorousness: Look at the score differences! esp. before & after using EvalPlus tests! Less drop means more rigorousness in code generation; while a bigger drop means the generated code ...