Llm Knowledge Editing Transformer Models

There are 21 llm knowledge editing models tracked. The highest-rated is jianghoucheng/AlphaEdit at 41/100 with 423 stars.

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# Model Score Tier
1 jianghoucheng/AlphaEdit

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models,...

41
Emerging
2 steering-vectors/steering-vectors

Steering vectors for transformer language models in Pytorch / Huggingface

41
Emerging
3 kmeng01/memit

Mass-editing thousands of facts into a transformer memory (ICLR 2023)

39
Emerging
4 boyiwei/alignment-attribution-code

[ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and...

37
Emerging
5 jianghoucheng/AnyEdit

AnyEdit: Edit Any Knowledge Encoded in Language Models, ICML 2025

36
Emerging
6 zjunlp/KnowledgeCircuits

[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers

35
Emerging
7 chensyCN/llm4ea_official

[NeurIPS‘24] LLM4EA: Entity Alignment with Noisy Annotations from Large...

34
Emerging
8 bigcode-project/selfcodealign

[NeurIPS'24] SelfCodeAlign: Self-Alignment for Code Generation

33
Emerging
9 THUDM/LongAlign

[EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs

32
Emerging
10 SafeAILab/RAIN

[ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning

25
Experimental
11 knoveleng/steering

Official repo for the paper: "Selective Steering: Norm-Preserving Control...

24
Experimental
12 vipulraheja/coedit

Official implementation of the paper "CoEdIT: Text Editing by Task-Specific...

24
Experimental
13 SteveKGYang/MetaAligner

Models, data, and codes for the paper: MetaAligner: Towards Generalizable...

22
Experimental
14 jinzhuoran/RWKU

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language...

22
Experimental
15 PKU-Alignment/aligner

[NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct

21
Experimental
16 tsinghua-fib-lab/AAAI2025_MIA-Tuner

[AAAI'25 Oral] "MIA-Tuner: Adapting Large Language Models as Pre-training...

21
Experimental
17 Trustworthy-ML-Lab/ThinkEdit

[EMNLP 25] An effective and interpretable weight-editing method for...

18
Experimental
18 ys-zong/VLGuard

[ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision...

18
Experimental
19 git-disl/Lisa

This is the official code for the paper "Lazy Safety Alignment for Large...

16
Experimental
20 ziansu/awesome-llm-steering

A collection of papers related to steering of (multimodal) large language models.

16
Experimental
21 declare-lab/resta

Restore safety in fine-tuned language models through task arithmetic

12
Experimental