2 papers
cs.CL2026
Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs
Wenhao Yu, Zhicong Lu, Bo Lv +4
Knowledge editing aims to efficiently update factual information in Large Language Models (LLMs) without full retraining. However, existing methods still suffer from performance de…
cs.AI2024
Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models
Kaiwen Wei, Jingyuan Zhang, Hongzhi Zhang +4
Large Language Models (LLMs) exhibit remarkable generative capabilities, enabling the generation of valuable information. Despite these advancements, previous research found that L…