Popular Knowledge Propagates More Errors in LLM Knowledge Updating
The results reveal a pattern distinct from prior findings on long-tail vulnerability during acquisition and retention: among facts that models already answer correctly, those associated with highly connected entities are more likely to be corrupted by neighboring updates, and updates to such facts propagate errors more...
Yu-Ji Zhang, Wei-Bing Wang, Cheng Qian et al.
· 0 citations