Weird Generalization and Inductive Backdoors: New Ways to Corrupt LLMs
Creado: 14-06-26
LLMs are useful because they generalize so well. But can you have too much of a good thing? We show that a small amount of finetuning in narrow contexts can dramatically shift behavior outside...
https://arxiv.org/abs/2512.09742