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Found 2 papers, 1 papers with code
Eliciting Latent Predictions from Transformers with the Tuned Lens
We analyze transformers from the perspective of iterative inference, seeking to understand how model predictions are refined layer by layer.
On The Fragility of Learned Reward Functions
Our work focuses on demonstrating and studying the causes of these relearning failures in the domain of preference-based reward learning.
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