Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
-
Updated
Dec 22, 2025 - Python
Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
[NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
Official repository of "Task Vector Quantization for Memory-Efficient Model Merging" [ICCV 2025]
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. Arxiv, 2024.
Official repository of our work "Efficient Model Editing with Task-Localized Sparse Fine-tuning" accepted at ICLR 2025
Official version of the PyTorch implementation of MonoSoup method for model merging.
A comprehensive evaluation of Machine Unlearning via Task Arithmetic on CNN architectures (ResNet-18, VGG-11, MobileNetV2). Includes SOTA metrics like ZRF, MIA, and the novel Anamnesis Index (AIN) for Rebound Effect analysis.
Multi-Task Learning via Model Merging for Toxicity and Spam Detection. Explores Task Arithmetic and TIES-Merging on DistilBERT, evaluated against a BART-Large Zero-Shot baseline.
Code and measurements for when rank-one knowledge edits merge. Numerical archive on Zenodo.
To associate your repository with the task-arithmetic topic, visit your repo's landing page and select "manage topics."