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knowledge editing

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Model Merging for Knowledge Editing

Mitigating Negative Interference in Multilingual Sequential Knowledge Editing through Null-Space Constraints

PropMEND: Hypernetworks for Knowledge Propagation in LLMs

Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection

MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs

Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing

Context Robust Knowledge Editing for Language Models

ScEdit: Script-based Assessment of Knowledge Editing

Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing

CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?

REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing

LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models

Safety Alignment via Constrained Knowledge Unlearning

Benchmarking and Rethinking Knowledge Editing for Large Language Models

Disentangling Knowledge Representations for Large Language Model Editing

Editing Across Languages: A Survey of Multilingual Knowledge Editing

Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing

UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models

DeltaEdit: Enhancing Sequential Editing in Large Language Models by Controlling Superimposed Noise

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing

SetKE: Knowledge Editing for Knowledge Elements Overlap

Functional Abstraction of Knowledge Recall in Large Language Models

Can We Edit LLMs for Long-Tail Biomedical Knowledge?

$μ$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models

Identifying Multi-modal Knowledge Neurons in Pretrained Transformers via Two-stage Filtering

ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems

CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners

Understanding the Limits of Lifelong Knowledge Editing in LLMs

MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality

Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning

MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge

GeoEdit: Geometric Knowledge Editing for Large Language Models

FLEKE: Federated Locate-then-Edit Knowledge Editing

Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.