Knowledge Editing

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models ACL 2024 Time-aware COMET: A Commonsense Knowledge Model with Temporal Knowledge COLING 2024 Time Sensitive Knowledge Editing through Efficient Finetuning ACL 2024 TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models EMNLP 2024 Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs EMNLP 2024 Towards Safer Large Language Models through Machine Unlearning ACL 2024 Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration NeurIPS 2024 Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic Translation with Language Models AAAI 2024 TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models COLING 2024 TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space ACL 2024 Unveiling the Pitfalls of Knowledge Editing for Large Language Models ICLR 2024 Updating Large Language Models’ Memories with Time Constraints EMNLP 2024 VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark NeurIPS 2024 WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NeurIPS 2024 What does the Knowledge Neuron Thesis Have to do with Knowledge? ICLR 2024 Why Does New Knowledge Create Messy Ripple Effects in LLMs? EMNLP 2024 WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models COLING 2024 WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing ACL 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NeurIPS 2024 XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs EMNLP 2024 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors NeurIPS 2023 Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge ACL 2023 Can We Edit Factual Knowledge by In-Context Learning? EMNLP 2023 Decouple knowledge from paramters for plug-and-play language modeling ACL 2023 Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023