Model-Aware Data Selection from In-and-Out Information Interplay.

arXiv:2609.33010v1 Announce Type: new Abstract: LLMs are effective representations that assimilate vast amounts of knowledge during pretraining, but post-training is necessary for models to reliably access this knowledge and "know what they know." We observe a