Can LLMs Be Constrained to the Past? Improving Knowledge Cutoff through Recall-Based Prompting 事件

Can LLMs Be Constrained to the Past? Improving Knowledge Cutoff through Recall-Based Prompting arXiv:2606.05804v1 Announce Type: new Abstract: Prompted knowledge cutoff instructs a large language model (LLM) to act as if information beyond a specified cutoff date were unavailable. However, prior work mainly relies on direct-answer generation, which struggles when post-cutoff knowledge is not explicitly queried but is only causally related to the question. To address this limitation, we propose