2 papers
cs.CL2024
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…
cs.HC2024
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…