论文题目:GPT Understands, Too 作者&团队:Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang 论文地址:sciencedirect.com/scien 研究动机: 预训练语言模型(PLMs)在自然语言理解(NLU)任务中表现出色,但手动离散提示(prompts)往往导致性能不稳定,如提示中的单个词汇变化可能导致...
【论文笔记】GPT Understands, Toomp.weixin.qq.com/s/EvD9OW115XMnrxOcC2BKDA “ Abstract: While GPTs with traditional fine-tuning fail to achieve strong results on natural language understanding (NLU), we show that GPTs can be better than or comparable to similar-sized BERTs on NLU tasks...
GPT Understands, Too 来自dx.doi.org 作者X Liu,Y Zheng,Z Du,M Ding,J Tang摘要 While GPTs with traditional fine-tuning fail to achieve strong results on natural language understanding (NLU), we sh... 关键词 Computer Science - Computation and Language ...
请在微信公众号文章链接阅读: https://mp.weixin.qq.com/s/EvD9OW115XMnrxOcC2BKDA 分类:自然语言处理 好文要顶关注我收藏该文微信分享 createMoMo 粉丝-41关注 -1 +加关注 0 0 升级成为会员 «【论文笔记】通俗理解少样本文本分类 (Few-Shot Text Classification with Distributional Signatures - ICLR 2020...
GPT Understands, Too 1. 介绍 传统fine-tune(使用训练数据来微调模型参数),GPT在自然语言理解任务上未能取得很好的效果,关于NLU任务的一种新方法P-tuning,采用可训练的连续的 prompt embeddings。 实验表明: 在自然语言理解方面,GPT可以与BERTs一样具有竞争力(有时甚至更好),P-tuning可以提高预训练的语言模型的...
在NLU任务上,首先在不同位置初始化prompt的embedding,并与预训练模型一同微调; (2)分析 在fully supervision任务上(如上表Table3/4),p-tuning比其他方法好,而且发现在p-tuning方法之下,GPT比BERT更优; 在few-shot任务上(如上表Table6),P-tuning比当前最好的PET模型在各个数据集上均得到很大的提升。结果表明few...
《GPT Understands, Too》论文主要部分翻译 3.1 结构# Promptpp的功能是将 contextxx,targetyy和自身组成一个模板TT。例如,在预测一个国家的首都(LAMA-TREx P36)任务中,模板可以为 "The capital of Britain is [MASK]." ,其中 "The capital of ... is ... ." 是 prompt, "Britain" 是 context , "[...
GPT Understands, Too Prompting a pretrained language model with natural language patterns has been proved effective for natural language understanding (NLU). However, our preliminary study reveals that manual discrete prompts often lead to unstable performance -- e.g., changing a single word in the...
It's a time and resource commitment, but the payoff could be a machine that not only does its job but understands the "why" behind it. 这下感觉如何了?那个chatgpt给的那个训狗的例子,是不是超级棒的?反正,我感觉比我解释的要好。真正做到了,用简明扼要的语言,解释了一个非常专业的知识,使得整个...