knowledge editing
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zjunlp/PromptKG/tree/main/deltaKG
공식 코드https://github.com/zjunlp/cake
공식 코드CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
https://github.com/zjunlp/easyedit
공식 코드EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
https://github.com/zjunlp/knowledgecircuits
공식 코드https://github.com/zjunlp/knowledgeeditingpapers
공식 코드A Comprehensive Study of Knowledge Editing for Large Language Models
https://github.com/zjunlp/knowlm
공식 코드EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
https://github.com/zjunlp/oneedit
공식 코드OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
https://github.com/zjunlp/pitfallsknowledgeediting
공식 코드Unveiling the Pitfalls of Knowledge Editing for Large Language Models
https://github.com/zjunlp/promptkg
공식 코드https://github.com/zongkaiz/fleke
공식 코드https://github.com/zzhao71/ripplecot
공식 코드https://github.com/EVOKE-LMM/EVOKE
In-Context Editing: Learning Knowledge from Self-Induced Distributions
https://github.com/dmis-lab/temporalhead
https://github.com/hi-archers/stableke
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
https://github.com/jianghoucheng/nse
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
https://github.com/leo-liuzy/codeupdatearena
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates
https://github.com/llm-editing/editing-attack
https://github.com/weixuan-wang123/ReMaKE
https://github.com/zepingyu0512/arithmetic-mechanism
https://github.com/zepingyu0512/in-context-mechanism
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.