zjunlp/KnowledgeEditingPapers
Must-read Papers on Knowledge Editing for Large Language Models.
Organizes research across knowledge editing methodologies—including memory-based approaches, parameter modification via finetuning and meta-learning, and locate-and-edit techniques—with curated benchmarks like KnowEdit and the EasyEdit framework for practical implementation. Covers knowledge mechanisms in LLMs, lifelong model editing, unlearning, and security applications, supported by tutorial materials from major conferences (AAAI, EMNLP, ACL, NeurIPS) and companion papers analyzing knowledge circuits and conceptual knowledge editing in transformers.
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