Transformer feed-forward layers act as key-value memories storing textual patterns and their associated output distributions.
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3 Pith papers cite this work. Polarity classification is still indexing.
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CONDITIONAL 3representative citing papers
Length-controlled AlpacaEval applies regression adjustment to remove length bias from LLM auto-evaluations, raising Spearman correlation with Chatbot Arena from 0.94 to 0.98.
Increased regularization is required for group DRO to achieve good worst-group generalization in overparameterized neural networks.
citing papers explorer
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Transformer Feed-Forward Layers Are Key-Value Memories
Transformer feed-forward layers act as key-value memories storing textual patterns and their associated output distributions.
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Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Length-controlled AlpacaEval applies regression adjustment to remove length bias from LLM auto-evaluations, raising Spearman correlation with Chatbot Arena from 0.94 to 0.98.
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Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Increased regularization is required for group DRO to achieve good worst-group generalization in overparameterized neural networks.