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...
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 performance of LLMs in code generation tasks. This article delves into the intricacies of ...
自回归代码生成模型(例如LLM)很难重新考虑在解码过程中先前生成的token。这一限制可能会导致在文本相关领域中生成结果缺少多样性。为了平衡生成的多样性和质量,已经有很富哦研究已经探索了解码策略,如分组束搜索(grouped beam search)或核心采样(nucleus sampling )。 当前方法 扩散模型,在图像生成方面表现出显著效果,最...
HumanEval was 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 ...
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 ...
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?
8.A systematic evaluation of large language models of code 9.Codegen: An open large language model for code with multi-turn program synthesis 10.CERT: continual pretraining on sketches for library-oriented code generation 11.Pangu-coder: Program synthesis with function-level language modeling ...
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. ...
✨ Precise evaluation: See our leaderboard for 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...
Human-LLM Interaction Datasets 8.1 Pretraining 8.2 Benchmarks Integrated Benchmarks Evaluation Metrics Program Synthesis Visually Grounded Program Synthesis Code Reasoning and QA Text-to-SQL Code Translation Program Repair Code Summarization Defect/Vulnerability Detection Code Retrieval Type Inference Commit ...