Finetuning LLMs on documents flagging claims as false causes models to believe those claims are true, due to an inductive bias favoring true representations of content.
There’s a proposal at my company to have a human reviewer approve every AI-generated decision before it goes out. Seems expensive and slow to me. Thoughts?
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Negation Neglect: When models fail to learn negations in training
Finetuning LLMs on documents flagging claims as false causes models to believe those claims are true, due to an inductive bias favoring true representations of content.