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cs.CL2023
Bridging Information-Theoretic and Geometric Compression in Language Models
Emily Cheng, Corentin Kervadec, Marco Baroni
For a language model (LM) to faithfully model human language, it must compress vast, potentially infinite information into relatively few dimensions. We propose analyzing compressi…
cs.CL2023
Unnatural language processing: How do language models handle machine-generated prompts?
Corentin Kervadec, Francesca Franzon, Marco Baroni
Language model prompt optimization research has shown that semantically and grammatically well-formed manually crafted prompts are routinely outperformed by automatically generated…