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cs.CL2024
Steering Large Language Models to Evaluate and Amplify Creativity
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck +2
Although capable of generating creative text, Large Language Models (LLMs) are poor judges of what constitutes "creativity". In this work, we show that we can leverage this knowled…
cs.CL2024
Why do LLaVA Vision-Language Models Reply to Images in English?
Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson +6
We uncover a surprising multilingual bias occurring in a popular class of multimodal vision-language models (VLMs). Including an image in the query to a LLaVA-style VLM significant…