103 citations · 107 across the 5 of their papers we have counts for
5 papers
ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
Luke Bates, Max Glockner, Preslav Nakov +1
Conspiracy theories erode public trust in science and institutions while resisting debunking by evolving and absorbing counter-evidence. As AI-generated misinformation becomes incr…
A Template Is All You Meme
Luke Bates, Peter Ebert Christensen, Preslav Nakov +1
Templatic memes, characterized by a semantic structure adaptable to the creator's intent, represent a significant yet underexplored area within meme processing literature. With the…
Lessons Learned from a Citizen Science Project for Natural Language Processing
Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe +6
Many Natural Language Processing (NLP) systems use annotated corpora for training and evaluation. However, labeled data is often costly to obtain and scaling annotation projects is…
Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification
Luke Bates, Iryna Gurevych
Few-shot text classification systems have impressive capabilities but are infeasible to deploy and use reliably due to their dependence on prompting and billion-parameter language…
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall, Nils Reimers, Unso Eun Seo Jo +4
Recent few-shot methods, such as parameter-efficient fine-tuning (PEFT) and pattern exploiting training (PET), have achieved impressive results in label-scarce settings. However, t…