1 code implementation • 20 Feb 2024 • Yusu Qian, Haotian Zhang, Yinfei Yang, Zhe Gan
The remarkable advancements in Multimodal Large Language Models (MLLMs) have not rendered them immune to challenges, particularly in the context of handling deceptive information in prompts, thus producing hallucinated responses under such conditions.
no code implementations • ACL 2020 • Yusu Qian
Text style transfer aims to change the style of the input text to the target style while preserving the content to some extent.
no code implementations • ACL 2019 • Yusu Qian
Written language often contains gender stereotypes, typically conveyed unintentionally by the author.
2 code implementations • ACL 2019 • Yusu Qian, Urwa Muaz, Ben Zhang, Jae Won Hyun
Finally, we introduce a combination of data augmentation and our approach, and show that it outperforms existing strategies in all bias evaluation metrics.