Daniel A. Keim

Progressive Data Science: Potential and Challenges

2018 · arXiv (Cornell University)

Data science requires time-consuming iterative manual activities. In particular, activities such as data selection, preprocessing, transformation, and mining, highly depend on iterative trial-and-error processes that could be sped-up significantly by providing quick feedback on the …

-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation

2024 · ACM Transactions on Interactive Intelligent Systems

Large language models (LLMs) are widely deployed in various downstream tasks, e.g., auto-completion, aided writing, or chat-based text generation. However, the considered output candidates of the underlying search algorithm are under-explored and under-explained. We tackle …