Discovering Latent Knowledge in Language Models Without Supervision - extensions and testing
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.
Anonymous: Team members hidden
Agatha Duzan, Matthieu David, Jonathan Claybrough
goldtartigradfish
View the video presentation:
Hackathon
AI Testing
Sunday, December 18, 2022
Hackathon
AI Testing
Jam site
Responsible Machine Learning AI Testing hackathon
The hackathon will be used for the evaluation of the students of the Responsible Machine Learning course at Mathématiques Vision Apprentissage
ENS Ulm
, visit event pageJam site
ENS Ulm
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