https://github.com/quqxui/medlasa
공식 코드Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
Model Editing at Scale leads to Gradual and Catastrophic Forgetting
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
Interpreting and Controlling Vision Foundation Models via Text Explanations
Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
The Mirage of Model Editing: Revisiting Evaluation in the Wild
Assessing Knowledge Editing in Language Models via Relation Perspective
Assessing Knowledge Editing in Language Models via Relation Perspective
UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.