论文提出了CODEFUSION,第一个基于扩散的NL-to-code模型。 论文将连续段落去噪(CPD)方法应用到代码领域,并展示它显著改进了CODEFUSION的结果。 论文将CODEFUSION与自回归代码模型和文本扩散模型在三种语言的NL-to-code任务中进行了比较。 论文标题:CODEFUSION: A Pre-trained Diffusion Model for Code Generation 论文链接...
链接:VeriGen: A Large Language Model for Verilog Code Generation | ACM Transactions on Design Automation of Electronic Systems 源码:shailja-thakur/VGen 模型检查点:shailja (Shailja Thakur) 会议版本(DATE 2023):Benchmarking Large Language Models for Automated Verilog RTL Code Generation | IEEE Conference...
The dataset was meticulously crafted to prevent data leakage, as the Codex model and many more large language models released later contain training data from websites like GitHub. Evaluating Generated Code Before introducing the immensely popular HumanEval benchmark, most evaluation methods for ...
模型融合已有较长的历史,但最近一篇颇具影响力的 LLM 相关论文是《Model Ratatouille:Recycling Diverse Models for Out-of-Distribution Generalization》。(论文地址:https://arxiv.org/abs/2212.10445) Model Ratatouille 背后的思想是复用多个同一基础模型在不同的多样性辅助任务上微调过的迭代版本,如下图所示。 通过...
10.CERT: continual pretraining on sketches for library-oriented code generation 11.Pangu-coder: Program synthesis with function-level language modeling 12.Codegeex: A pre-trained model for code generation with multilingual evaluations on humaneval-x ...
模型融合已有较长的历史,但最近一篇颇具影响力的 LLM 相关论文是《Model Ratatouille:Recycling Diverse Models for Out-of-Distribution Generalization》。(论文地址:https://arxiv.org/abs/2212.10445) Model Ratatouille 背后的思想是复用多个同一基础模型在不同的多样性辅助任务上微调过的迭代版本,如下图所示。
模型融合已有较长的历史,但最近一篇颇具影响力的 LLM 相关论文是《Model Ratatouille:Recycling Diverse Models for Out-of-Distribution Generalization》。(论文地址:https://arxiv.org/abs/2212.10445) Model Ratatouille 背后的思想是复用多个同一基础模型在不同的多样性辅助任务上微调过的迭代版本,如下图所示。
trust_remote_code=True).eval()#use auto mode, automatically select precision based on the device.model=AutoModelForCausalLM.from_pretrained("Qwen/Qwen-1_8B-Chat",revision='master',device_map="auto",trust_remote_code=True).eval()#Specify hyperparameters for generation. But if you use transfor...
模型融合已有较长的历史,但最近一篇颇具影响力的 LLM 相关论文是《Model Ratatouille:Recycling Diverse Models for Out-of-Distribution Generalization》。(论文地址:https://arxiv.org/abs/2212.10445) Model Ratatouille 背后的思想是复用多个同一基础模型在不同的多样性辅助任务上微调过的迭代版本,如下图所示。
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