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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Knowledge Editing
459 directly classified papers
Papers per year
2017: 4
2018: 7
2019: 11
2020: 14
2021: 26
2022: 29
2023: 36
2024: 124
2025: 171
2026: 37
Papers
Commonsense Knowledge Editing Based on Free-Text in LLMs
EMNLP 2024
AKEW: Assessing Knowledge Editing in the Wild
EMNLP 2024
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
EMNLP 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models
EMNLP 2024
FAME: Towards Factual Multi-Task Model Editing
EMNLP 2024
On the Robustness of Editing Large Language Models
EMNLP 2024
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
EMNLP 2024
ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models
EMNLP 2024
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
EMNLP 2024
StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children’s Story-Based Learning
EMNLP 2024
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
EMNLP 2024
Knowledge Graph Enhanced Large Language Model Editing
EMNLP 2024
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
EMNLP 2024
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
EMNLP 2024
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation
EMNLP 2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
EMNLP 2024
Neuron-Level Knowledge Attribution in Large Language Models
EMNLP 2024
Dissecting Fine-Tuning Unlearning in Large Language Models
EMNLP 2024
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models
EMNLP 2024
Enhancing LLM Capabilities Beyond Scaling Up
EMNLP 2024
Editing Conceptual Knowledge for Large Language Models
EMNLP 2024
Knowledge Editing in Language Models via Adapted Direct Preference Optimization
EMNLP 2024
Should We Really Edit Language Models? On the Evaluation of Edited Language Models
NIPS 2024
Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization
EMNLP 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
EMNLP 2024
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