Editing Models with Task Arithmetic

8 December 2022

Papers citing "Editing Models with Task Arithmetic"

50 / 350 papers shown

Title
Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics Tian Bowen Lai Songning Wu Jiemin Shuai Zhihao Ge Shiming Yue Yutao MoMe 59 4 0 25 Nov 2024
FREE-Merging: Fourier Transform for Efficient Model Merging Shenghe Zheng Hongzhi Wang MoMe 69 0 0 25 Nov 2024
IterIS: Iterative Inference-Solving Alignment for LoRA Merging Hongxu Chen Runshi Li Bowei Zhu Zhen Wang Long Chen MoMe 89 0 0 21 Nov 2024
Steering Language Model Refusal with Sparse Autoencoders Kyle O'Brien David Majercak Xavier Fernandes Richard Edgar Jingya Chen Harsha Nori Dean Carignan Eric Horvitz Forough Poursabzi-Sangde LLMSV 54 10 0 18 Nov 2024
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs Megh Thakkar Yash More Quentin Fournier Matthew D Riemer Pin-Yu Chen Amal Zouaq Payel Das Sarath Chandar ALM LLMSV 25 4 0 11 Nov 2024
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities Zhaofeng Wu Xinyan Velocity Yu Dani Yogatama Jiasen Lu Yoon Kim AIFin 43 10 0 07 Nov 2024
ATM: Improving Model Merging by Alternating Tuning and Merging Luca Zhou Daniele Solombrino Donato Crisostomi Maria Sofia Bucarelli Fabrizio Silvestri Emanuele Rodolà MoMe 37 4 0 05 Nov 2024
Collective Model Intelligence Requires Compatible Specialization Jyothish Pari Samy Jelassi Pulkit Agrawal MoMe 30 1 0 04 Nov 2024
Is Multiple Object Tracking a Matter of Specialization? G. Mancusi Mattia Bernardi Aniello Panariello Angelo Porrello Rita Cucchiara Simone Calderara MoMe 29 1 0 01 Nov 2024
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging Li Shen A. Tang Enneng Yang G. Guo Yong Luo Lefei Zhang Xiaochun Cao Bo Du Dacheng Tao MoMe 27 5 0 29 Oct 2024
Model merging with SVD to tie the Knots George Stoica Pratik Ramesh B. Ecsedi Leshem Choshen Judy Hoffman MoMe 24 8 0 25 Oct 2024
Inference time LLM alignment in single and multidomain preference spectrum S. Zheng Qi Nikolaos Pappas Srikanth Doss Kadarundalagi Raghuram Doss Monica Sunkara Kishaloy Halder Manuel Mager Yassine Benajiba 32 0 0 24 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 29 2 0 23 Oct 2024
Catastrophic Failure of LLM Unlearning via Quantization Zhiwei Zhang Fali Wang Xiaomin Li Zongyu Wu Xianfeng Tang Hui Liu Qi He Wenpeng Yin Suhang Wang MU 29 5 0 21 Oct 2024
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery Enneng Yang Li Shen Zhenyi Wang G. Guo Xingwei Wang Xiaocun Cao Jie Zhang Dacheng Tao MoMe 29 4 0 18 Oct 2024
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models Qiaoyu Tang Le Yu Bowen Yu Hongyu Lin K. Lu Y. Lu Xianpei Han Le Sun MoMe 32 1 0 17 Oct 2024
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang A. Tang Didi Zhu Zhengyu Chen Li Shen Fei Wu MoMe AAML 52 3 0 17 Oct 2024
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks Akshara Prabhakar Yuanzhi Li Karthik Narasimhan Sham Kakade Eran Malach Samy Jelassi MoMe 21 9 0 16 Oct 2024
The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse Ekansh Sharma Daniel M. Roy Gintare Karolina Dziugaite MoMe 18 2 0 16 Oct 2024
Exploring Model Kinship for Merging Large Language Models Yedi Hu Yunzhi Yao N. Zhang Shumin Deng H. Chen MoMe 34 1 0 16 Oct 2024
SoK: Prompt Hacking of Large Language Models Baha Rababah Shang Wu Matthew Kwiatkowski Carson Leung Cuneyt Gurcan Akcora AAML 33 2 0 16 Oct 2024
Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki Taishi Nakamura Takuya Akiba Yujin Tang MoMe 29 0 0 16 Oct 2024
Overcoming Domain Limitations in Open-vocabulary Segmentation Dongjun Hwang Seong Joon Oh Junsuk Choe SSeg OOD 42 0 0 15 Oct 2024
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence Shangbin Feng Zifeng Wang Yike Wang Sayna Ebrahimi Hamid Palangi ... Nathalie Rauschmayr Yejin Choi Yulia Tsvetkov Chen-Yu Lee Tomas Pfister MoMe 30 3 0 15 Oct 2024
Improving Instruction-Following in Language Models through Activation Steering Alessandro Stolfo Vidhisha Balachandran Safoora Yousefi Eric Horvitz Besmira Nushi LLMSV 49 13 0 15 Oct 2024
LLM Unlearning via Loss Adjustment with Only Forget Data Yaxuan Wang Jiaheng Wei Chris Liu Jinlong Pang Q. Liu A. Shah Yujia Bao Yang Liu Wei Wei KELM MU 32 6 0 14 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability Futing Wang Jianhao Yan Yue Zhang Tao Lin 35 0 0 12 Oct 2024
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models Wenlong Deng Yize Zhao V. Vakilian Minghui Chen Xiaoxiao Li Christos Thrampoulidis 35 3 0 12 Oct 2024
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing Jiamu Zheng Jinghuai Zhang Tianyu Du Xuhong Zhang Jianwei Yin Tao Lin KELM 22 0 0 12 Oct 2024
How Does Vision-Language Adaptation Impact the Safety of Vision Language Models? Seongyun Lee Geewook Kim Jiyeon Kim Hyunji Lee Hoyeon Chang Sue Hyun Park Minjoon Seo 31 0 0 10 Oct 2024
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models Zhipeng Chen Liang Song K. Zhou Wayne Xin Zhao B. Wang Weipeng Chen Ji-Rong Wen 60 0 0 10 Oct 2024
Glider: Global and Local Instruction-Driven Expert Router Pingzhi Li Prateek Yadav Jaehong Yoon Jie Peng Yi-Lin Sung Mohit Bansal Tianlong Chen MoMe MoE 25 1 0 09 Oct 2024
WAPITI: A Watermark for Finetuned Open-Source LLMs Lingjie Chen Ruizhong Qiu Siyu Yuan Zhining Liu Tianxin Wei Hyunsik Yoo Zhichen Zeng Deqing Yang Hanghang Tong WaLM 31 4 0 09 Oct 2024
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning Qianli Ma Xuefei Ning Dongrui Liu Li Niu Linfeng Zhang MoMe 44 0 0 09 Oct 2024
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning Chongyu Fan Jiancheng Liu Licong Lin Jinghan Jia Ruiqi Zhang Song Mei Sijia Liu MU 41 15 0 09 Oct 2024
Diversity-Rewarded CFG Distillation Geoffrey Cideron A. Agostinelli Johan Ferret Sertan Girgin Romuald Elie Olivier Bachem Sarah Perrin Alexandre Ramé 34 2 0 08 Oct 2024
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition Zheyang Xiong Ziyang Cai John Cooper Albert Ge Vasilis Papageorgiou ... Saurabh Agarwal Grigorios G Chrysos Samet Oymak Kangwook Lee Dimitris Papailiopoulos LRM 22 1 0 08 Oct 2024
NegMerge: Consensual Weight Negation for Strong Machine Unlearning Hyoseo Kim Dongyoon Han Junsuk Choe MoMe MU 18 1 0 08 Oct 2024
Low-Rank Continual Personalization of Diffusion Models Łukasz Staniszewski Katarzyna Zaleska Kamil Deja DiffM 37 0 0 07 Oct 2024
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network Doanh C. Bui Jin Tae Kwak DiffM MedIm 16 0 0 06 Oct 2024
OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized Distributions Yu-Shin Huang Peter Just Krishna Narayanan Chao Tian 28 3 0 06 Oct 2024
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models Theo Putterman Derek Lim Yoav Gelberg Stefanie Jegelka Haggai Maron AI4CE 43 5 0 05 Oct 2024
What Matters for Model Merging at Scale? Prateek Yadav Tu Vu Jonathan Lai Alexandra Chronopoulou Manaal Faruqui Mohit Bansal Tsendsuren Munkhdalai MoMe 44 12 0 04 Oct 2024
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router Lingrui Mei Shenghua Liu Yiwei Wang Baolong Bi Ruibin Yuan Xueqi Cheng 33 4 0 03 Oct 2024
Parameter Competition Balancing for Model Merging Guodong Du Junlin Lee Jing Li Runhua Jiang Yifei Guo ... Hanting Liu S. Goh Ho-Kin Tang Daojing He Min Zhang MoMe 19 10 0 03 Oct 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation Changdae Oh Yixuan Li Kyungwoo Song Sangdoo Yun Dongyoon Han OOD MoMe 36 4 0 03 Oct 2024
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging Tingfeng Hui Zhenyu Zhang Shuohuan Wang Yu Sun Hua-Hong Wu Sen Su MoE 16 0 0 02 Oct 2024
Disentangling Latent Shifts of In-Context Learning Through Self-Training Josip Jukić Jan Snajder 21 0 0 02 Oct 2024
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks Edan Kinderman Itay Hubara Haggai Maron Daniel Soudry MoMe 45 0 0 02 Oct 2024
Towards Inference-time Category-wise Safety Steering for Large Language Models Amrita Bhattacharjee Shaona Ghosh Traian Rebedea Christopher Parisien LLMSV 21 2 0 02 Oct 2024