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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
A Unified Framework for Model Editing
EMNLP 2024
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning
NAACL 2024
Robust and Scalable Model Editing for Large Language Models
COLING 2024
AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards
AAAI 2024
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA
AAAI 2024
Learning or Self-aligning? Rethinking Instruction Fine-tuning
ACL 2024
Cross-Lingual Knowledge Editing in Large Language Models
ACL 2024
DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models
ACL 2024
Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks
ACL 2024
InstructEd: Soft-Instruction Tuning for Model Editing with Hops
ACL 2024
Model Editing at Scale leads to Gradual and Catastrophic Forgetting
ACL 2024
TAXI: Evaluating Categorical Knowledge Editing for Language Models
ACL 2024
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
ACL 2024
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
IJCAI 2024
Model Editing by Standard Fine-Tuning
ACL 2024
History Matters: Temporal Knowledge Editing in Large Language Model
AAAI 2024
Enhancing Court View Generation with Knowledge Injection and Guidance
COLING 2024
Long-form evaluation of model editing
NAACL 2024
Why Does New Knowledge Create Messy Ripple Effects in LLMs?
EMNLP 2024
Correcting Language Model Outputs by Editing Salient Layers
EACL 2024
MULFE: A Multi-Level Benchmark for Free Text Model Editing
ACL 2024
RDRec: Rationale Distillation for LLM-based Recommendation
ACL 2024
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
EMNLP 2024
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
EMNLP 2024
Can We Continually Edit Language Models? On the Knowledge Attenuation in Sequential Model Editing
ACL 2024
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