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Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning

This study investigates the cognitive gap in large language models where newly memorized facts during fine-tuning fail to generalize to downstream reasoning tasks.

Impact
48/100
Current rank score
24.03
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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