Discovering Latent Knowledge in Language Models Without Supervision - extensions and testing
A downloadable project
Based on the paper "Discovering Latent Knowledge in Language Models without supervision" this project discusses how well the proposed method applies to the concept of ambiguity. To do that, we tested the Contrast Consistent Search method on data with clear cut (0 or 1) or ambiguous (0,5) examples.
Status | Released |
Category | Other |
Author | Jonathan Claybrough |
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AI Testing Hackathon Write up - Discovering Latent Knowledge in Language Models Without Supervision - extensions and testing.pdf 244 kB
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