2 citations · 5 across the 5 of their papers we have counts for
5 papers
ExpertLens: Activation steering features are highly interpretable
Masha Fedzechkina, Eleonora Gualdoni, Sinead Williamson +3
Activation steering methods in large language models (LLMs) have emerged as an effective way to perform targeted updates to enhance generated language without requiring large amoun…
Why do objects have many names? A study on word informativeness in language use and lexical systems
Eleonora Gualdoni, Gemma Boleda
Human lexicons contain many different words that speakers can use to refer to the same object, e.g., "purple" or "magenta" for the same shade of color. On the one hand, studies on…
Run Like a Girl! Sports-Related Gender Bias in Language and Vision
Sophia Harrison, Eleonora Gualdoni, Gemma Boleda
Gender bias in Language and Vision datasets and models has the potential to perpetuate harmful stereotypes and discrimination. We analyze gender bias in two Language and Vision dat…
Cross-Domain Image Captioning with Discriminative Finetuning
Roberto Dessì, Michele Bevilacqua, Eleonora Gualdoni +3
Neural captioners are typically trained to mimic human-generated references without optimizing for any specific communication goal, leading to problems such as the generation of va…
Communication breakdown: On the low mutual intelligibility between human and neural captioning
Roberto Dessì, Eleonora Gualdoni, Francesca Franzon +2
We compare the 0-shot performance of a neural caption-based image retriever when given as input either human-produced captions or captions generated by a neural captioner. We condu…