132 citations · 172 across the 6 of their papers we have counts for
6 papers
Look Before You Prompt, and After: Scaffolding Human-AI Collaboration in Software Tutorial Creation
Avinash Bhat, Vy Bui, Jin L. C. Guo
With LLMs, creating software tutorials now involves steering the model's output and shaping it into a coherent, accurate learning resource, yet existing LLM tools offer writers lit…
"A Second Set of Eyes": The Process and Challenges of Software Documentation Review
Avinash Bhat, Ian Arawjo, Disha Shrivastava +1
Organizations assign documentation work to technical writers, yet the knowledge required to produce it is distributed across developers, managers, and other practitioners. Prior wo…
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…
SUMMIT: Scaffolding OSS Issue Discussion Through Summarization
Saskia Gilmer, Avinash Bhat, Shuvam Shah +3
For Open Source Software (OSS) projects, discussions in Issue Tracking Systems (ITS) serve as a crucial collaboration mechanism for diverse stakeholders. However, these discussions…
Approach Intelligent Writing Assistants Usability with Seven Stages of Action
Avinash Bhat, Disha Shrivastava, Jin L. C. Guo
Despite the potential of Large Language Models (LLMs) as writing assistants, they are plagued by issues like coherence and fluency of the model output, trustworthiness, ownership o…
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability
Avinash Bhat, Austin Coursey, Grace Hu +5
The documentation practice for machine-learned (ML) models often falls short of established practices for traditional software, which impedes model accountability and inadvertently…