SOTAVerified

knowledge editing

Papers

Showing 101125 of 175 papers

TitleStatusHype
In-Context Editing: Learning Knowledge from Self-Induced DistributionsCode2
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance0
MEMLA: Enhancing Multilingual Knowledge Editing with Neuron-Masked Low-Rank Adaptation0
Identifying Query-Relevant Neurons in Large Language Models for Long-Form TextsCode0
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuningCode0
DIEKAE: Difference Injection for Efficient Knowledge Augmentation and Editing of Large Language ModelsCode0
Knowledge Editing in Language Models via Adapted Direct Preference Optimization0
Time Sensitive Knowledge Editing through Efficient FinetuningCode0
Outdated Issue Aware Decoding for Reasoning Questions on Edited KnowledgeCode0
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language ModelsCode0
Knowledge Circuits in Pretrained TransformersCode2
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language ModelsCode1
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top0
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited FactsCode1
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing0
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt LearningCode1
Detecting Edited Knowledge in Language Models0
TAXI: Evaluating Categorical Knowledge Editing for Language ModelsCode0
DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMsCode0
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language ModelsCode0
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness0
Multi-hop Question Answering under Temporal Knowledge Editing0
Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs0
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question AnsweringCode1
General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing0
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