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Model Editing

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Showing 101–150 of 193 papers

TitleStatusHype
What does the Knowledge Neuron Thesis Have to do with Knowledge?Code0
On Mechanistic Knowledge Localization in Text-to-Image Generative ModelsCode1
Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3Code1
Adversarial Representation Engineering: A General Model Editing Framework for Large Language ModelsCode1
MemLLM: Finetuning LLMs to Use An Explicit Read-Write MemoryCode1
Decomposing and Editing Predictions by Modeling Model ComputationCode2
Locating and Editing Factual Associations in MambaCode1
Scalable Model Editing via Customized Expert NetworksCode0
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question AnsweringCode1
Robust and Scalable Model Editing for Large Language ModelsCode1
A Unified Framework for Model EditingCode1
BadEdit: Backdooring large language models by model editingCode1
Editing Massive Concepts in Text-to-Image Diffusion ModelsCode1
Efficiently Quantifying and Mitigating Ripple Effects in Model Editing—0
pyvene: A Library for Understanding and Improving PyTorch Models via InterventionsCode5
Rebuilding ROME : Resolving Model Collapse during Sequential Model EditingCode1
Consecutive Batch Model Editing with HooK LayersCode0
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language ModelsCode0
Editing Factual Knowledge and Explanatory Ability of Medical Large Language ModelsCode0
How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queriesCode0
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond—0
Knowledge Graph Enhanced Large Language Model Editing—0
Potential and Challenges of Model Editing for Social Debiasing—0
Dense Passage Retrieval: Is it Retrieving?—0
Model Editing by Standard Fine-TuningCode1
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)Code2
Towards Uncovering How Large Language Model Works: An Explainability Perspective—0
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models CollapseCode0
Long-form evaluation of model editingCode0
Rethinking Machine Unlearning for Large Language Models—0
Model Editing with Canonical ExamplesCode1
On the Robustness of Editing Large Language ModelsCode0
MEMORYLLM: Towards Self-Updatable Large Language ModelsCode3
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampeningCode0
Continual Learning for Large Language Models: A Survey—0
Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks—0
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding AlteringCode0
From Understanding to Utilization: A Survey on Explainability for Large Language Models—0
Cross-lingual Editing in Multilingual Language ModelsCode0
Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language ModelsCode0
Model Editing at Scale leads to Gradual and Catastrophic ForgettingCode0
Editing Arbitrary Propositions in LLMs without Subject Labels—0
Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueCode1
MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing—0
Large Language Models Relearn Removed ConceptsCode1
A Comprehensive Study of Knowledge Editing for Large Language ModelsCode5
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRACode0
History Matters: Temporal Knowledge Editing in Large Language ModelCode1
Neuron Patching: Semantic-based Neuron-level Language Model Repair for Code Generation—0
DemoCaricature: Democratising Caricature Generation with a Rough Sketch—0
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