knowledge update

LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory ACL 2026 On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models AAAI 2026 CoME: An Unlearning-based Approach to Conflict-free Model Editing NAACL 2025 Constraining Sequential Model Editing with Editing Anchor Compression NAACL 2025 DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates ACL 2025 ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA AAAI 2025 Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data IJCNLP 2025 Knowledge Editing through Chain-of-Thought EMNLP 2025 Memorization vs. Reasoning: Updating LLMs with New Knowledge ACL 2025 One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit ACL 2025 Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing EMNLP 2025 Serial Lifelong Editing via Mixture of Knowledge Experts ACL 2025 SUMIE: A Synthetic Benchmark for Incremental Entity Summarization COLING 2025 SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering AAAI 2025 Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024 LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments EMNLP 2024 Long-form evaluation of model editing NAACL 2024 PMET: Precise Model Editing in a Transformer AAAI 2024 Should We Really Edit Language Models? On the Evaluation of Edited Language Models NeurIPS 2024 Time Sensitive Knowledge Editing through Efficient Finetuning ACL 2024 Why Does New Knowledge Create Messy Ripple Effects in LLMs? EMNLP 2024 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors NeurIPS 2023 Improving Sequential Model Editing with Fact Retrieval EMNLP 2023 Propagating Knowledge Updates to LMs Through Distillation NeurIPS 2023 LM-CORE: Language Models with Contextually Relevant External Knowledge NAACL 2022