21 citations · 72 across the 15 of their papers we have counts for
24 papers
TextGrad: Automatic "Differentiation" via Text
Mert Yuksekgonul, Federico Bianchi, Joseph Boen +4
AI is undergoing a paradigm shift, with breakthroughs achieved by systems orchestrating multiple large language models (LLMs) and other complex components. As a result, developing…
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
Anne Lauscher, Federico Bianchi, Samuel Bowman +1
Pre-trained language models (PLMs) have outperformed other NLP models on a wide range of tasks. Opting for a more thorough understanding of their capabilities and inner workings, r…
"It's Not Just Hate'': A Multi-Dimensional Perspective on Detecting Harmful Speech Online
Federico Bianchi, Stefanie Anja Hills, Patricia Rossini +3
Well-annotated data is a prerequisite for good Natural Language Processing models. Too often, though, annotation decisions are governed by optimizing time or annotator agreement. W…
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds
Tommaso Fornaciari, Dirk Hovy, Federico Bianchi
The most common ways to explore latent document dimensions are topic models and clustering methods. However, topic models have several drawbacks: e.g., they require us to choose th…
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages
Paul Röttger, Debora Nozza, Federico Bianchi +1
Hate speech is a global phenomenon, but most hate speech datasets so far focus on English-language content. This hinders the development of more effective hate speech detection mod…
"Does it come in black?" CLIP-like models are zero-shot recommenders
Patrick John Chia, Jacopo Tagliabue, Federico Bianchi +2
Product discovery is a crucial component for online shopping. However, item-to-item recommendations today do not allow users to explore changes along selected dimensions: given a q…