Best AI papers explained

Revisiting Superficial Alignment Hypothesis


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  • The paper revisits the Superficial Alignment Hypothesis. 
  • It studies post-training scaling behavior with finetuning examples. 
  • Performance scales as a power law with more finetuning examples. 
  • Model performance correlates with reasoning ability, not just style. 
  • Language models can integrate new knowledge post-pre-training. 
  • Results suggest the hypothesis is an oversimplification. 
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Best AI papers explainedBy Enoch H. Kang