Rebecca Kehlbeck

-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 …