[Paper] When is memorization of irrelevant training data necessary for high-accuracy learning
This is a review of “Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models”
- Paper Review post Notion Link
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[Survey] Recent technical reports
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This is a collection of recent technical reports from several vendors including Google DeepMind, x.AI, AllenAI, AI21Labs, Databricks and HyperCLOVA.
[Survey] Recent approaches about Super alignments
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This is a collection of recent approaches and papers about super-alignment and relevant topics.
[Survey] Recent approaches about Efficient ML
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This is a collection of recent approaches and papers about Efficient ML including Parameter Efficient Fine Tuning(PEFT), qunatization, pruning and other topi...
[Paper] Using Sliced Mutual Information to Study Memorization and Generalization
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Using Sliced Mutual Information to Study Memorization and Generalization PDF Link
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