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Model Editing

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

https://github.com/chenhuihu/wilke

공식 코드

WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing

https://github.com/chenmientan/malmen

공식 코드

Massive Editing for Large Language Models via Meta Learning

https://github.com/crashbugger/mindbridge

공식 코드

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

https://github.com/derekpowell/taxi

공식 코드

TAXI: Evaluating Categorical Knowledge Editing for Language Models

https://github.com/domenicrosati/longform-evaluation-model-editing

공식 코드

Long-form evaluation of model editing

https://github.com/dtamayo-nlp/memat

공식 코드

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge

https://github.com/ecnu-text-computing/knowledge-editing-benchmark

공식 코드

Benchmarking and Rethinking Knowledge Editing for Large Language Models

https://github.com/edenbiran/rippleedits

공식 코드

Evaluating the Ripple Effects of Knowledge Editing in Language Models

https://github.com/ekgus9/COME

공식 코드

CoME: An Unlearning-based Approach to Conflict-free Model Editing

https://github.com/eric-mitchell/mend

공식 코드

Fast Model Editing at Scale

https://github.com/eric8932/jeep

공식 코드

Joint Knowledge Editing for Information Enrichment and Probability Promotion

https://github.com/fbarez/neuroplasticity

공식 코드

Large Language Models Relearn Removed Concepts

https://github.com/feyzaakyurek/dune

공식 코드

DUnE: Dataset for Unified Editing

https://github.com/flamewei123/DEPN

공식 코드

DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models

https://github.com/franklear/lime

공식 코드

Language Anisotropic Cross-Lingual Model Editing

https://github.com/frankniujc/kn_thesis

공식 코드

What does the Knowledge Neuron Thesis Have to do with Knowledge?

https://github.com/google/belief-localization

공식 코드

Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models

https://github.com/hammadrizwan/PENME

공식 코드

Resolving Lexical Bias in Edit Scoping with Projector Editor Networks

https://github.com/hartvigsen-group/composable-interventions

공식 코드

Composable Interventions for Language Models

https://github.com/heng840/amig

공식 코드

Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons

https://github.com/hengrui-gu/pokemqa

공식 코드

PokeMQA: Programmable knowledge editing for Multi-hop Question Answering

https://github.com/hengrui-gu/t2iknowledgeediting

공식 코드

Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion

https://github.com/hi-archers/mlake

공식 코드

MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models

https://github.com/hiyouga/llama-factory

공식 코드

Time Sensitive Knowledge Editing through Efficient Finetuning

https://github.com/hoagyc/sparse_coding

공식 코드

Sparse Autoencoders Find Highly Interpretable Features in Language Models

https://github.com/holi-lab/core

공식 코드

Context Robust Knowledge Editing for Language Models

https://github.com/huangxiusheng/dem

공식 코드

Commonsense Knowledge Editing Based on Free-Text in LLMs

https://github.com/hustyyq/where-to-edit

공식 코드

Learning Where to Edit Vision Transformers

https://github.com/interpretml/gam-changer

공식 코드

Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values

https://github.com/interpretml/interpret

공식 코드

Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values

https://github.com/iurada/talos-task-arithmetic

공식 코드

Efficient Model Editing with Task-Localized Sparse Fine-tuning

https://github.com/jasonforjoy/model-editing-hurt

공식 코드

Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

https://github.com/jemoka/dropfree

공식 코드

Drop Dropout on Single-Epoch Language Model Pretraining

https://github.com/jiaangl/elder

공식 코드

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA

https://github.com/jiakuan929/superficial-editing

공식 코드

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

https://github.com/jianghoucheng/alphaedit

공식 코드

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

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