I am a PhD student in the Software Technology Lab at School of Computer Science, McGill University, advised by Professor Jin Guo. Broadly, my research interest is about how software practitioners create knowledge while collaborating in software teams. As part of this research, I am investigating existing documentation practices and developing tools to help practitioners create documentation.

  • 2024
    Do LLMs Meet the Needs of Software Tutorial Writers? Opportunities and Design Implications
    Avinash Bhat, Disha Shrivastava, Jin L.C. Guo
    ACM DIS 2024 PDF
  • 2024
    A Design Space for Intelligent and Interactive Writing Assistants
    Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L.C. Guo, Md Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue
    ACM CHI 2024 Website
  • 2023
    A human-centered approach to designing effective large language model (LLM) based tools for writing software tutorials
    Avinash Bhat
    MSc Thesis 2023 PDF
  • 2023
    SUMMIT: Scaffolding Open Source Software Issue Discussion through Summarization
    Saskia Gilmer, Avinash Bhat, Shuvam Shah, Kevin Cherry, Jinghui Cheng, Jin L.C. Guo
    ACM CSCW 2023 PDF Best PaperMethods Recognition
  • 2023
    Approach Intelligent Writing Assistants Usability with Seven Stages of Action
    Avinash Bhat, Disha Shrivastava, Jin L.C. Guo
    In2Writing 2023 PDF
  • 2023
    Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability
    Avinash Bhat*, Austin Coursey*, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L.C. Guo
    ACM CHI 2023 *Equal contribution PDF
  • 2018
    A Novel Deterministic Framework for Non-probabilistic Recommender Systems
    Avinash Bhat*, Divya Madhav Kamath*, C. Anitha
    IEMIS 2018 *Equal contribution Springer
  • 2023
    DocML
    Jupyter Lab extension to create model cards for notebooks. GitHub
  • 2023
    SUMMIT
    Chrome extension to summarize long GitHub issue threads to find pertinent information. GitHub
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