3 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
Enhancing Multimodal Affective Analysis with Learned Live Comment Features
Zhaoyuan Deng, Amith Ananthram, Kathleen McKeown
Live comments, also known as Danmaku, are user-generated messages that are synchronized with video content. These comments overlay directly onto streaming videos, capturing viewer…
See It from My Perspective: How Language Affects Cultural Bias in Image Understanding
Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal +1
Vision-language models (VLMs) can respond to queries about images in many languages. However, beyond language, culture affects how we see things. For example, individuals from West…
NewsQs: Multi-Source Question Generation for the Inquiring Mind
Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros +5
We present NewsQs (news-cues), a dataset that provides question-answer pairs for multiple news documents. To create NewsQs, we augment a traditional multi-document summarization da…