CodeRetriever: Large-scale Contrastive Pre-training for Code Search(用于代码搜索的大规模对比预训练) 摘要 在本文中,我们提出了CodeRetriever模型,该模型通过大规模的代码-文本对比预训练来学习功能级代码语义表示。我们在CodeRetriever中采用了两种对比学习方案:单峰对比学习和双峰对比学习。对于单峰对比学习,我们设计了...
6.1 在 CLUECorpus2020(C5)和Wiki数据上进行预训练 这部分主要是,使用相同的model来比较C5和Wiki这两个数据集。他们分别使用C5(1G)和Wiki(1G)来训练Bert_base model。 CLUE benchmark包含6个task,他们使用了4个任务,来测试模型的性能。具体如下: • Sentence Pair Similarity: AFQMC7 • Sentiment Analysis:...
[25]: Parameter-efficient fine-tuning of large-scale pre-trained language models, Nature Machine Intelligence, vol. 5, no. 3, pp. 220–235, 2023. [26]: Parameter efficient fine-tuning methods for pretrained language models: A critical review and assessment, arXiv preprint arXiv:2312.12148, ...
With the prevalence of pre-trained language models (PLMs) and the pre-training–fine-tuning paradigm, it has been continuously shown that larger models tend to yield better performance. However, as PLMs scale up, fine-tuning and storing all the parameters is prohibitively costly and eventually be...
@article{CLUECorpus2020, title={CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model}, author={Liang Xu and Xuanwei Zhang and Qianqian Dong}, journal={ArXiv}, year={2020}, volume={abs/2003.01355} } 捐赠 CLUE是一个致力于中文自然语言处理的开源组织,如果您觉得我们的工...
In this paper, we propose a Training-Free Video Temporal Grounding (TFVTG) approach that leverages the ability of pre-trained large models. A naive baseline is to enumerate proposals in the video and use the pre-trained visual language models (VLMs) to select the best proposal according to ...
In this paper, we introduce the Chinese corpus from CLUE organization, CLUECorpus2020, a large-scale corpus that can be used directly for self-supervised learning such as pre-training of a language model, or language generation. It has 100G raw corpus with 35 billion Chinese characters, which...
@article{CLUECorpus2020, title={CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model}, author={Liang Xu and Xuanwei Zhang and Qianqian Dong}, journal={ArXiv}, year={2020}, volume={abs/2003.01355} } 捐赠 CLUE是一个致力于中文自然语言处理的开源组织,如果您觉得我们的工...
rain. So far, there has been no large-scale application of products based on large models in the industry, and the reasons behind it still need to be further explored. What is the capability boundary of a large model that only uses general corpus and is not pre-trained with industry data...
(Exploring with LLMs) rewards an agent for achieving goals suggested by a language model prompted with a description of the agent’s current state. By leveraging large-scale language model pretraining, ELLM guides agents toward human-meaningful and plausibly useful behaviors without requiring a ...