作者位次 #3/4ACL 2026Poster· Natural Language Processing
Aligning Language Models with Real-time Knowledge Editing
Chenming Tang · Yutong Yang · Kexue Wang · Yunfang Wu
摘要
Knowledge editing aims to modify outdated knowledge in language models efficiently while retaining their original capabilities. Mainstream datasets for knowledge editing are predominantly static and fail to keep in pace with the evolving real-world knowledge. In this work, we introduce CRAFT, an...