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Knowledge Editing

459 directly classified papers

Papers per year

Papers

Foundation Model for Biomedical Graphs: Integrating Knowledge Graphs and Protein Structures to Large Language Models ACL 2024
Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy CONLL 2024
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic ACL 2024
Interpretability-based Tailored Knowledge Editing in Transformers EMNLP 2024
Instruction-tuned Language Models are Better Knowledge Learners ACL 2024
DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs EMNLP 2024
Knowledge Verification to Nip Hallucination in the Bud EMNLP 2024
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind ACL 2024
Contextualization Distillation from Large Language Model for Knowledge Graph Completion EACL 2024
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models EMNLP 2024
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons NIPS 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024
Patent Response System Optimised for Faithfulness: Procedural Knowledge Embodiment with Knowledge Graph and Retrieval Augmented Generation ACL 2024
Reasons and Solutions for the Decline in Model Performance after Editing NIPS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NIPS 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NIPS 2024
Time-aware COMET: A Commonsense Knowledge Model with Temporal Knowledge COLING 2024
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models COLING 2024
WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models COLING 2024
Knowledge Editing for Large Language Models COLING 2024
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024
Towards Safer Large Language Models through Machine Unlearning ACL 2024
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models ACL 2024
Boosting the Potential of Large Language Models with an Intelligent Information Assistant NIPS 2024
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models NIPS 2024