74 citations · 171 across the 12 of their papers we have counts for
4 papers · 1 filter
Leveraging Large Language Models to Enhance Domain Expert Inclusion in Data Science Workflows
Jasmine Y. Shih, Vishal Mohanty, Yannis Katsis +1
Domain experts can play a crucial role in guiding data scientists to optimize machine learning models while ensuring contextual relevance for downstream use. However, in current wo…
Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seeking
Anjali Khurana, Hari Subramonyam, Parmit K Chilana
Large Language Model (LLM) assistants, such as ChatGPT, have emerged as potential alternatives to search methods for helping users navigate complex, feature-rich software. LLMs use…
Prototyping with Prompts: Emerging Approaches and Challenges in Generative AI Design for Collaborative Software Teams
Hari Subramonyam, Divy Thakkar, Andrew Ku +2
Generative AI models are increasingly being integrated into human task workflows, enabling the production of expressive content across a wide range of contexts. Unlike traditional…
AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI Experts and Clients
Dae Hyun Kim, Hyungyu Shin, Shakhnozakhon Yadgarova +3
Clients often partner with AI experts to develop AI applications tailored to their needs. In these partnerships, careful planning and clear communication are critical, as inaccurat…