Mahmud Wasif Nafee

Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization

Large language models (LLMs) excel at factual recall yet still propagate stale or incorrect knowledge. In‐context knowledge editing offers a gradient-free remedy suitable for black-box APIs, but current editors rely on static demonstration sets chosen by surface-level similarity, leading to two pers