most citedA Design Space for Intelligent and Interactive Writing Assistants

132 citations · 132 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation

Katherine M. Collins, Najoung Kim, Yonatan Bitton +15

Human feedback plays a critical role in learning and refining reward models for text-to-image generation, but the optimal form the feedback should take for learning an accurate rew…

cs.HC2024132 cited

A Design Space for Intelligent and Interactive Writing Assistants

Mina Lee, Katy Ilonka Gero, John Joon Young Chung +33

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to addr…

cs.HC2024

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction

Senjuti Dutta, Sherol Chen, Sunny Mak +7

Image generation models are poised to become ubiquitous in a range of applications. These models are often fine-tuned and evaluated using human quality judgments that assume a univ…

cs.AI2023

Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities

Senjuti Dutta, Sid Mittal, Sherol Chen +6

The prevalence and impact of toxic discussions online have made content moderation crucial.Automated systems can play a vital role in identifying toxicity, and reducing the relianc…

q-bio.NC2023

Getting aligned on representational alignment

Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller +30

Biological and artificial information processing systems form representations of the world that they can use to categorize, reason, plan, navigate, and make decisions. How can we m…