The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color
The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color
复制标题
章鱼的世界:报告偏差如何影响语言模型对颜色的感知
DOI:
10.18653/v1/2021.emnlp-main.63
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Katharina Kann
中科院分区:
文献类型:
--
作者:
Cory Paik;Stephane T Aroca;A. Roncone;Katharina Kann
Recent work has raised concerns about the inherent limitations of text-only pretraining. In this paper, we first demonstrate that reporting bias, the tendency of people to not state the obvious, is one of the causes of this limitation, and then investigate to what extent multimodal training can mitigate this issue. To accomplish this, we 1) generate the Color Dataset (CoDa), a dataset of human-perceived color distributions for 521 common objects; 2) use CoDa to analyze and compare the color distribution found in text, the distribution captured by language models, and a human’s perception of color; and 3) investigate the performance differences between text-only and multimodal models on CoDa. Our results show that the distribution of colors that a language model recovers correlates more strongly with the inaccurate distribution found in text than with the ground-truth, supporting the claim that reporting bias negatively impacts and inherently limits text-only training. We then demonstrate that multimodal models can leverage their visual training to mitigate these effects, providing a promising avenue for future research.
DOI:
10.1162/tacl_a_00321
发表时间:
2020
影响因子:
10.9
作者:
Warstadt, Alex;Parrish, Alicia;Liu, Haokun;Mohananey, Anhad;Peng, Wei;Wang, Sheng-Fu;Bowman, Samuel R.
通讯作者:
Bowman, Samuel R.
DOI:
10.1162/tacl_a_00324
发表时间:
2020-01-01
影响因子:
10.9
作者:
Jiang, Zhengbao;Xu, Frank F.;Neubig, Graham
通讯作者:
Neubig, Graham