4 papers
ArticulatePro: A Comparative Study on a Proactive and Non-Proactive Assistant in a Climate Data Exploration Task
Roderick Tabalba, Christopher J. Lee, Giorgio Tran +2
Recent advances in Natural Language Interfaces (NLIs) and Large Language Models (LLMs) have transformed our approach to NLP tasks, shifting the focus towards a more Pragmatics-base…
Space to Teach: Content-Rich Canvases for Visually-Intensive Education
Jesse Harden, Nurit Kirshenbaum, Roderick Tabalba +8
With the decreasing cost of consumer display technologies making it easier for universities to have larger displays in classrooms, and the ubiquitous use of online tools such as co…
Macro-Queries: An Exploration into Guided Chart Generation from High Level Prompts
Christopher J. Lee, Giorgio Tran, Roderick Tabalba +2
This paper explores the intersection of data visualization and Large Language Models (LLMs). Driven by the need to make a broader range of data visualization types accessible for n…
Abstracted Trajectory Visualization for Explainability in Reinforcement Learning
Yoshiki Takagi, Roderick Tabalba, Nurit Kirshenbaum +1
Explainable AI (XAI) has demonstrated the potential to help reinforcement learning (RL) practitioners to understand how RL models work. However, XAI for users who do not have RL ex…