7 citations · 9 across the 6 of their papers we have counts for
6 papers
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
Zachary Horvitz, Ajay Patel, Chris Callison-Burch +2
Textual style transfer is the task of transforming stylistic properties of text while preserving meaning. Target "styles" can be defined in numerous ways, ranging from single attri…
Focus! Relevant and Sufficient Context Selection for News Image Captioning
Mingyang Zhou, Grace Luo, Anna Rohrbach +1
News Image Captioning requires describing an image by leveraging additional context from a news article. Previous works only coarsely leverage the article to extract the necessary…
Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment
Mingyang Zhou, Licheng Yu, Amanpreet Singh +3
Vision-and-Language (V+L) pre-training models have achieved tremendous success in recent years on various multi-modal benchmarks. However, the majority of existing models require p…
Insta-VAX: A Multimodal Benchmark for Anti-Vaccine and Misinformation Posts Detection on Social Media
Mingyang Zhou, Mahasweta Chakraborti, Sijia Qian +2
Sharing of anti-vaccine posts on social media, including misinformation posts, has been shown to create confusion and reduce the publics confidence in vaccines, leading to vaccine…
Clean or Annotate: How to Spend a Limited Data Collection Budget
Derek Chen, Zhou Yu, Samuel R. Bowman
Crowdsourcing platforms are often used to collect datasets for training machine learning models, despite higher levels of inaccurate labeling compared to expert labeling. There are…
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training
Mingyang Zhou, Luowei Zhou, Shuohang Wang +4
Vision-and-language pre-training has achieved impressive success in learning multimodal representations between vision and language. To generalize this success to non-English langu…