132 citations · 134 across the 8 of their papers we have counts for
8 papers
Human--LLM Collaboration Is Transforming Complexity Metrics in Scientific Texts
R. Alexander Bentley, Blai Vidiella, Damian J. Ruck +3
While human language has long been studied as a complex system, Large Language Models (LLMs) are rapidly becoming contributors to its dynamics. Because LLMs are trained on human la…
Exploring Crowdworkers' Perceptions, Current Practices, and Desired Practices Regarding Using Non-Workstation Devices for Crowdwork
Senjuti Dutta, Scott Ruoti, Rhema Linder +2
Despite a plethora of research dedicated to designing HITs for non-workstations, there is a lack of research looking specifically into workers' perceptions of the suitability of th…
Unveiling the Inter-Related Preferences of Crowdworkers: Implications for Personalized and Flexible Platform Design
Senjuti Dutta, Rhema Linder, Alex C. Williams +2
Crowdsourcing platforms have traditionally been designed with a focus on workstation interfaces, restricting the flexibility that crowdworkers need. Recognizing this limitation and…
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…
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…
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…
Ocassionally Secure: A Comparative Analysis of Code Generation Assistants
Ran Elgedawy, Porter Dosch, John Sadik +8
Large Language Models (LLMs) are being increasingly utilized in various applications, with code generations being a notable example. While previous research has shown that LLMs…
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…