138 citations · 147 across the 4 of their papers we have counts for
5 papers
From Human-Human Collaboration to Human-Agent Collaboration: A Vision, Design Philosophy, and an Empirical Framework for Achieving Successful Partnerships Between Humans and LLM Agents
Bingsheng Yao, Chaoran Chen, April Yi Wang +3
The emergence of Large Language Model (LLM) agents enables us to build agent-based intelligent systems that move beyond the role of a "tool" to become genuine collaborators with hu…
Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration
Bingsheng Yao, Jiaju Chen, Chaoran Chen +3
Intelligent systems have traditionally been designed as tools rather than collaborators, often lacking critical characteristics that collaboration partnerships require. Recent adva…
Human-Centered AI for Data Science: A Systematic Approach
Dakuo Wang, Xiaojuan Ma, April Yi Wang
Human-Centered AI (HCAI) refers to the research effort that aims to design and implement AI techniques to support various human tasks, while taking human needs into consideration a…
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks
Xuye Liu, Dakuo Wang, April Wang +2
Jupyter notebook allows data scientists to write machine learning code together with its documentation in cells. In this paper, we propose a new task of code documentation generati…
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study
David Piorkowski, Soya Park, April Yi Wang +3
The development of AI applications is a multidisciplinary effort, involving multiple roles collaborating with the AI developers, an umbrella term we use to include data scientists…