https://www.mathworks.com/help/simulink/programmatic-modeling.html
Programmatic Model Editing - MATLAB & Simulink
Use APIs to perform modeling basics such as adding, configuring, and connecting blocks
model editingprogrammaticmatlabsimulink
https://www.mathworks.com/help/simulink/collaborative-modeling-1.html?s_tid=CRUX_topnav
Collaborative Model Editing - MATLAB & Simulink
Annotate, share, reuse, standardize, print, and protect the confidentiality of model content
collaborative modeleditingmatlabsimulink
https://arxiv.org/abs/2505.18343
[2505.18343] Model Editing with Graph-Based External Memory
Abstract page for arXiv paper 2505.18343: Model Editing with Graph-Based External Memory
model editinggraph basedexternalmemory
https://openreview.net/forum?id=duZANm2ABX
BadEdit: Backdooring Large Language Models by Model Editing | OpenReview
Mainstream backdoor attack methods typically demand substantial tuning data for poisoning, limiting their practicality and potentially degrading the overall...
large language modelseditingopenreview
https://aclanthology.org/2024.findings-acl.199/
Enhancing Semantic Consistency of Large Language Models through Model Editing: An...
Jingyuan Yang, Dapeng Chen, Yajing Sun, Rongjun Li, Zhiyong Feng, Wei Peng. Findings of the Association for Computational Linguistics: ACL 2024. 2024.
large language modelsenhancingsemanticconsistency
https://aclanthology.org/2024.findings-acl.888/
InstructEd: Soft-Instruction Tuning for Model Editing with Hops - ACL Anthology
XiaoQi Han, Ru Li, Xiaoli Li, Jiye Liang, Zifang Zhang, Jeff Pan. Findings of the Association for Computational Linguistics: ACL 2024. 2024.
instruction tuningmodel editinginstructedsoft
https://aclanthology.org/2025.trustnlp-main.13/
BiasEdit: Debiasing Stereotyped Language Models via Model Editing - ACL Anthology
Xin Xu, Wei Xu, Ningyu Zhang, Julian McAuley. Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025). 2025.
language modelsdebiasingstereotypedviaediting
https://openreview.net/forum?id=GRBbtkW3Lp
EdiBERT: a generative model for image editing | OpenReview
Advances in computer vision are pushing the limits of image manipulation, with generative models sampling highly-realistic detailed images on various tasks....
generative modelfor imageeditingopenreview
https://openreview.net/forum?id=X078V9YU2x
Uniform Text-Motion Generation and Editing via Diffusion Model | OpenReview
Diffusion excels in controllable generation for continuous modalities, ideal for continuous motion generation. However, its flexibility is limited, focusing...
motion generationdiffusion modeluniformtextediting
https://openreview.net/forum?id=vRvVVb0NAz
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear...
Task arithmetic refers to editing the pre-trained model by adding a weighted sum of task vectors, each of which is the weight update from the pre-trained model...
https://aclanthology.org/2025.naacl-industry.17/
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance -...
Somnath Banerjee, Avik Halder, Rajarshi Mandal, Sayan Layek, Ian Soboroff, Rima Hazra, Animesh Mukherjee. Proceedings of the 2025 Conference of the Nations of...
breaking boundariesthe effects
https://drive.google.com/file/d/12cFbOdVs5qadR7yy2PLPb4gFAc0MtaAA/view?usp=sharing
Nonviral base editing of KCNJ13 mutation preserves vision in a model of inherited retinal...