22 citations · 24 across the 5 of their papers we have counts for
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cs.HC2024
DracoGPT: Extracting Visualization Design Preferences from Large Language Models
Huichen Will Wang, Mitchell Gordon, Leilani Battle +1
Trained on vast corpora, Large Language Models (LLMs) have the potential to encode visualization design knowledge and best practices. However, if they fail to do so, they might pro…
cs.CL2024
Localizing Paragraph Memorization in Language Models
Niklas Stoehr, Mitchell Gordon, Chiyuan Zhang +1
Can we localize the weights and mechanisms used by a language model to memorize and recite entire paragraphs of its training data? In this paper, we show that while memorization is…