Pre-trained Vision-Language Models Learn Discoverable Visual Concepts

1 code implementation • 19 Apr 2024 • Yuan Zang, Tian Yun, Hao Tan, Trung Bui, Chen Sun

Do vision-language models (VLMs) pre-trained to caption an image of a "durian" learn visual concepts such as "brown" (color) and "spiky" (texture) at the same time?

Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet

1 code implementation • COLING 2020 • Bairu Hou, Fanchao Qi, Yuan Zang, Xurui Zhang, Zhiyuan Liu, Maosong Sun

In this paper, we propose a new unsupervised method for HowNet-based Chinese WSD, which exploits the masked language model task of pre-trained language models.

Language Modelling Word Sense Disambiguation

OpenAttack: An Open-source Textual Adversarial Attack Toolkit

1 code implementation • ACL 2021 • Guoyang Zeng, Fanchao Qi, Qianrui Zhou, Tingji Zhang, Zixian Ma, Bairu Hou, Yuan Zang, Zhiyuan Liu, Maosong Sun

Textual adversarial attacking has received wide and increasing attention in recent years.

Adversarial Attack

Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations

no code implementations • 19 Sep 2020 • Yuan Zang, Bairu Hou, Fanchao Qi, Zhiyuan Liu, Xiaojun Meng, Maosong Sun

Adversarial attacking aims to fool deep neural networks with adversarial examples.

Adversarial Attack Natural Language Inference +3

Word-level Textual Adversarial Attacking as Combinatorial Optimization

1 code implementation • ACL 2020 • Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun

Also, further experiments show our model has higher transferability and can bring more robustness enhancement to victim models by adversarial training.

Adversarial Attack Combinatorial Optimization +3