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knowledge editing

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/jianghoucheng/alphaedit

공식 코드

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

https://github.com/jometeorie/multihopshortcuts

공식 코드

Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models

https://github.com/krystalan/bi_zsre

공식 코드

Cross-Lingual Knowledge Editing in Large Language Models

https://github.com/leo-liuzy/propmend

공식 코드

PropMEND: Hypernetworks for Knowledge Propagation in LLMs

https://github.com/lins-lab/collabedit

공식 코드

CollabEdit: Towards Non-destructive Collaborative Knowledge Editing

https://github.com/lliutianc/roselora

공식 코드

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning

https://github.com/llm-editing/HalluEditBench

공식 코드

Can Knowledge Editing Really Correct Hallucinations?

https://github.com/mcgill-nlp/logicalknowedit

공식 코드

Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness

https://github.com/miulab/editllm-survey

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Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models

https://github.com/mjy1111/bake

공식 코드

Untying the Reversal Curse via Bidirectional Language Model Editing

https://github.com/mjy1111/peak

공식 코드

Neighboring Perturbations of Knowledge Editing on Large Language Models

https://github.com/nlpkeg/D4S

공식 코드

Reasons and Solutions for the Decline in Model Performance after Editing

https://github.com/opanhw/FiNE

공식 코드

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

https://github.com/opanhw/MM_Neurons

공식 코드

Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers

https://github.com/pkunlp-icler/ike

공식 코드

Can We Edit Factual Knowledge by In-Context Learning?

https://github.com/princeton-nlp/mquake

공식 코드

MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

https://github.com/qiuzh20/tuning-keys-v.s.-values

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Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers

https://github.com/qizhou000/RECIPE

공식 코드

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning

https://github.com/scalable-model-editing/knowledge-editing-regularization

공식 코드

Lifelong Knowledge Editing requires Better Regularization

https://github.com/shankarp8/knowledge_distillation

공식 코드

Propagating Knowledge Updates to LMs Through Distillation

https://github.com/sislab-unitn/dyknow

공식 코드

DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

https://github.com/songxiaoshuai/postedit

공식 코드

Knowledge Editing on Black-box Large Language Models

https://github.com/sycny/rae

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Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering

https://github.com/thu-keg/event-level-knowledge-editing

공식 코드

Event-level Knowledge Editing

https://github.com/tigerchen52/qrneuron

공식 코드

Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts

https://github.com/vicky-wil/remake

공식 코드

Retrieval-augmented Multilingual Knowledge Editing

https://github.com/vlkeb/vlkeb

공식 코드

VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark

https://github.com/wangywust/deepedit

공식 코드

DeepEdit: Knowledge Editing as Decoding with Constraints

https://github.com/weiyifan1023/RaKE

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Assessing Knowledge Editing in Language Models via Relation Perspective

https://github.com/weiyifan1023/knowledge-edit-based-on-relation-perspective

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Assessing Knowledge Editing in Language Models via Relation Perspective

https://github.com/xinhaoyi/edit_bio_long_tail

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Can We Edit LLMs for Long-Tail Biomedical Knowledge?

https://github.com/xpq-tech/code-llmedit

공식 코드

Model Editing for LLMs4Code: How Far are We?

https://github.com/xpq-tech/keti

공식 코드

Identifying Knowledge Editing Types in Large Language Models

https://github.com/yaohui120/comprehendedit

공식 코드

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing

https://github.com/yjiangcm/lte

공식 코드

Learning to Edit: Aligning LLMs with Knowledge Editing

https://github.com/zce1112zslx/ike

공식 코드

Can We Edit Factual Knowledge by In-Context Learning?

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