我们的工作涉及到广泛的领域,如zero-shot learning, prompting, multi-task learning, and language models for NLP applications。 Section 6. Discussion 本文探索了一个关于zero-shot prompting的简单问题:在instruction形式的数据上微调模型,对于未见过任务是否具备泛化性?我们采用了Instruction tuning,一种结合pretrain...
Finetuned Language Models are Zero-shot Learners guodaichi Uber首席科学家Raquel Urtasun对自动驾驶Scalable Simulation的报告 黄浴发表于自动驾驶的... 学习Ilya推荐的27篇AI论文-01 Attention is all you need 马仲 Few-shot Learning 串讲 原发布于我的 github:sxontheway/Keep-LearningFew Sample Learning 综...
论文解读:Finetuned Language Models Are Zero-shot Learners 简要信息: 一、概念: Instruction-tuning——finetuning language models on a collection of tasks (more than 60 NLP tasks) described via instructions 本文提出一种基于instruction-tuning的方法叫做FLAN(Finetuned LAnguage Net) 评估方法:对所...
FINETUNED LANGUAGE MODELS ARE ZERO-SHOT LEARNERS,司机原谅了这位亮证执法的女乘客,可这位亮证的女乘客显然没打算放过司机,真是细思极恐。
Finetuned Language Models are Zero-shot Learners (ICLR 2022), 视频播放量 404、弹幕量 0、点赞数 7、投硬币枚数 2、收藏人数 14、转发人数 0, 视频作者 mardinff, 作者简介 ,相关视频:DetectGPT Zero-Shot Machine-Generated Text Detection using Probability Curvat
比较LaMDA-PT的zero-shot和few-shot结果，FLAN在25个数据集中的20个任务上超越了GPT-3。同时，FLAN在10个数据集上优于few-shot GPT-3，在GLaM上也有类似效果。核心实验研究instruction tuning如何提升模型对unseen task性能，通过研究cluster和task数量对instruction tuning性能的影响。随着instruction tuning ...
Finetuned Language Models Are Zero-Shot LearnersJason WeiMaarten BosmaVincent Y. ZhaoKelvin GuuAdams Wei YuBrian LesterNan DuAndrew M. DaiQuoc V. Le
In this way, GPT-2 proves the possibility of learning ability improvement of language models under a large and diverse dataset without any supervision. However, although the zero-shot performance of GPT-2 on many tasks is significant, it is still obscure where the ceiling is under this ...
For that, we can view the hf-speech-bench, a leaderboard that categorises models by language and dataset, and subsequently ranks them according to their WER.Our fine-tuned model significantly improves upon the zero-shot performance of the Whisper small checkpoint, highlighting the strong transfer...
Common Sense Reasoning ReCoRD FLAN 137B (zero-shot) EM 72.5 # 23 Compare Natural Language Inference RTE FLAN 137B (0-shot) Accuracy 84.1% # 30 Compare Natural Language Inference RTE FLAN 137B (8-shot) Accuracy 84.5% # 29 Compare Natural Language Inference RTE FLAN 137B (prompt-...