5 citations · 13 across the 12 of their papers we have counts for
4 papers · 1 filter
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
Aditi Mishra, Sajjadur Rahman, Hannah Kim +2
Large language models (LLMs) are proficient at generating fluent text with minimal task-specific supervision. Yet, their ability to provide well-grounded rationalizations for knowl…
Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks
Frederick Choi, Sajjadur Rahman, Hannah Kim +1
Data science workflows are human-centered processes involving on-demand programming and analysis. While programmable and interactive interfaces such as widgets embedded within comp…
Towards Multifaceted Human-Centered AI
Sajjadur Rahman, Hannah Kim, Dan Zhang +2
Human-centered AI workflows involve stakeholders with multiple roles interacting with each other and automated agents to accomplish diverse tasks. In this paper, we call for a holi…
MEGAnno: Exploratory Labeling for NLP in Computational Notebooks
Dan Zhang, Hannah Kim, Rafael Li Chen +2
We present MEGAnno, a novel exploratory annotation framework designed for NLP researchers and practitioners. Unlike existing labeling tools that focus on data labeling only, our fr…