Learning, Fast and Slow: Towards LLMs That Adapt Continually.

arXiv:2605.12484v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are trained for downstream tasks by updating their parameters (e.g., via RL). However, updating model parameters forces them to absorb task-specific information, which can r