sequential-post-training

This paper studies representation collapse in sequential post-training of large language models, showing that repeated adaptation stages compress internal representations, reducing plasticity and out-of-domain generalization. The authors propose lightweight interventions to preserve future learnability without sacrificing behavioral gains.