most citedgenerAItor: Tree-in-the-Loop Text Generation for Language Model Explainability and Adaptation

4 citations · 4 across the 2 of their papers we have counts for

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cs.CL2023

Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges

Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova +5

The growing popularity of generative language models has amplified interest in interactive methods to guide model outputs. Prompt refinement is considered one of the most effective…