ZhaofengWu/transparency-data

--- license: apache-2.0 --- Datasets used in our paper (https://arxiv.org/abs/2210.07468) ```bibtex @inproceedings{wu-etal-2022-continued, title = "Transparency Helps Reveal When Language Models Learn Meaning", author = "Zhaofeng Wu and William Merrill and Hao Peng and Iz Beltagy and Noah A. Smith", url = {https://arxiv.org/abs/2210.07468}, publisher = {arXiv}, year = {2022}, doi = {10.48550/ARXIV.2210.07468}, } ``` Please see the "Files and versions" tab for the data.许可证：Apache-2.0 本论文（https://arxiv.org/abs/2210.07468）所使用的数据集如下： bibtex @inproceedings{wu-etal-2022-continued, title = "透明度有助于揭示大语言模型（Language Models）何时习得语义", author = "Zhaofeng Wu and William Merrill and Hao Peng and Iz Beltagy and Noah A. Smith", url = {https://arxiv.org/abs/2210.07468}, publisher = {arXiv}, year = {2022}, doi = {10.48550/ARXIV.2210.07468}, } 请查看「文件与版本」标签页以获取该数据集。

原始信息汇总

数据集概述

数据集来源

• 该数据集用于论文《Transparency Helps Reveal When Language Models Learn Meaning》。

论文信息

• 标题: Transparency Helps Reveal When Language Models Learn Meaning
• 作者: Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah A. Smith
• 发表年份: 2022
• DOI: 10.48550/ARXIV.2210.07468
• 链接: arXiv

数据文件

• 数据文件信息请参见“Files and versions”标签页。