11 citations · 52 across the 44 of their papers we have counts for
7 papers · 1 filter
Words of Wisdom: Representational Harms in Learning From AI Communication
Amanda Buddemeyer, Erin Walker, Malihe Alikhani
Many educational technologies use artificial intelligence (AI) that presents generated or produced language to the learner. We contend that all language, including all AI communica…
COSMic: A Coherence-Aware Generation Metric for Image Descriptions
Mert İnan, Piyush Sharma, Baber Khalid +3
Developers of text generation models rely on automated evaluation metrics as a stand-in for slow and expensive manual evaluations. However, image captioning metrics have struggled…
Cross-Modal Coherence for Text-to-Image Retrieval
Malihe Alikhani, Fangda Han, Hareesh Ravi +3
Common image-text joint understanding techniques presume that images and the associated text can universally be characterized by a single implicit model. However, co-occurring imag…
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
Steven Y. Feng, Kevin Lu, Zhuofu Tao +4
We investigate the use of multimodal information contained in images as an effective method for enhancing the commonsense of Transformer models for text generation. We perform expe…
Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models
Chloe Ciora, Nur Iren, Malihe Alikhani
As Machine Translation (MT) has become increasingly more powerful, accessible, and widespread, the potential for the perpetuation of bias has grown alongside its advances. While ov…
Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach
Barea Sinno, Bernardo Oviedo, Katherine Atwell +2
Analyzing ideology and polarization is of critical importance in advancing our grasp of modern politics. Recent research has made great strides towards understanding the ideologica…