3 citations · 6 across the 11 of their papers we have counts for
3 papers · 1 filter
PoSh: Using Scene Graphs To Guide LLMs-as-a-Judge For Detailed Image Descriptions
Amith Ananthram, Elias Stengel-Eskin, Lorena A. Bradford +7
While vision-language models (VLMs) have advanced into detailed image description, evaluation remains a challenge. Standard metrics (e.g. CIDEr, SPICE) were designed for short text…
Mining Contextualized Visual Associations from Images for Creativity Understanding
Ananya Sahu, Amith Ananthram, Kathleen McKeown
Understanding another person's creative output requires a shared language of association. However, when training vision-language models such as CLIP, we rely on web-scraped dataset…
Data Caricatures: On the Representation of African American Language in Pretraining Corpora
Nicholas Deas, Blake Vente, Amith Ananthram +5
With a combination of quantitative experiments, human judgments, and qualitative analyses, we evaluate the quantity and quality of African American Language (AAL) representation in…