Editing Models with Task Arithmetic

8 December 2022

Papers citing "Editing Models with Task Arithmetic"

50 / 350 papers shown

Title
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models Lucas Bandarkar Benjamin Muller Pritish Yuvraj Rui Hou Nayan Singhal Hongjiang Lv Bing-Quan Liu KELM LRM MoMe 30 2 0 02 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha Shiqi Yang Masato Ishii Mengjie Zhao Christian Simon Muhammad Jehanzeb Mirza Dong Gong Lina Yao Shusuke Takahashi Yuki Mitsufuji DiffM 55 2 0 01 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning Da-Wei Zhou Zi-Wen Cai Han-Jia Ye Lijun Zhang De-Chuan Zhan CLL AI4CE 41 2 0 01 Oct 2024
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models Shuhao Chen Weisen Jiang Baijiong Lin James T. Kwok Yu Zhang RALM MQ 40 5 0 30 Sep 2024
The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging Masanori Hirano Kentaro Imajo MoMe 24 1 0 30 Sep 2024
Realistic Evaluation of Model Merging for Compositional Generalization Derek Tam Yash Kant Brian Lester Igor Gilitschenski Colin Raffel MoMe 16 5 0 26 Sep 2024
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering Ziyu Zhao Tao Shen Didi Zhu Zexi Li Jing Su Xuwu Wang Kun Kuang Fei Wu MoMe 16 5 0 24 Sep 2024
Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks Roberto Alcover-Couso Juan C. Sanmiguel Marcos Escudero-Viñolo Jose M. Martínez FedML MoMe 23 1 0 24 Sep 2024
Towards understanding evolution of science through language model series Junjie Dong Zhuoqi Lyu Qing Ke AI4TS 23 0 0 15 Sep 2024
FP-VEC: Fingerprinting Large Language Models via Efficient Vector Addition Zhenhua Xu Wenpeng Xing Zhebo Wang Chang Hu Chen Jie Meng Han 23 0 0 13 Sep 2024
Erasure Coded Neural Network Inference via Fisher Averaging Divyansh Jhunjhunwala Neharika Jali Gauri Joshi Shiqiang Wang MoMe FedML 21 1 0 02 Sep 2024
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models Yuncheng Yang Yulei Qin Tong Wu Zihan Xu Gang Li ... Yuchen Shi Ke Li Xing Sun Jie Yang Yun Gu ALM OffRL MoE 46 0 0 28 Aug 2024
Improving the Classification Effect of Clinical Images of Diseases for Multi-Source Privacy Protection Tian Bowen Xu Zhengyang Yin Zhihao Wang Jingying Yue Yutao FedML 22 0 0 23 Aug 2024
SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging Mohammadreza Pourreza Ruoxi Sun Hailong Li Lesly Miculicich Tomas Pfister Sercan Ö. Arik MoMe 27 5 0 22 Aug 2024
Approaching Deep Learning through the Spectral Dynamics of Weights David Yunis Kumar Kshitij Patel Samuel Wheeler Pedro H. P. Savarese Gal Vardi Karen Livescu Michael Maire Matthew R. Walter 34 3 0 21 Aug 2024
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models A. Tang Li Shen Yong Luo Shuai Xie Han Hu Lefei Zhang Bo Du Dacheng Tao MoMe 24 3 0 19 Aug 2024
FuseChat: Knowledge Fusion of Chat Models Fanqi Wan Longguang Zhong Ziyi Yang Ruijun Chen Xiaojun Quan ALM KELM MoMe 26 23 0 15 Aug 2024
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning Prateek Yadav Colin Raffel Mohammed Muqeeth Lucas Page-Caccia Haokun Liu Tianlong Chen Mohit Bansal Leshem Choshen Alessandro Sordoni MoMe 38 21 0 13 Aug 2024
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning Shibo Jie Yehui Tang Jianyuan Guo Zhi-Hong Deng Kai Han Yunhe Wang VLM 23 2 0 13 Aug 2024
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement Le Yu Bowen Yu Haiyang Yu Fei Huang Yongbin Li MoMe 27 5 0 06 Aug 2024
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models Fanqing Meng J. Wang Chuanhao Li Quanfeng Lu Hao Tian ... Jifeng Dai Yu Qiao Ping Luo Kaipeng Zhang Wenqi Shao VLM 50 17 0 05 Aug 2024
On the Limitations and Prospects of Machine Unlearning for Generative AI Shiji Zhou Lianzhe Wang Jiangnan Ye Yongliang Wu Heng Chang MU 41 5 0 01 Aug 2024
Efficient Pareto Manifold Learning with Low-Rank Structure Weiyu Chen James T. Kwok 23 6 0 30 Jul 2024
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs Sara Abdali Jia He C. Barberan Richard Anarfi 29 7 0 30 Jul 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning Yupeng Chen Senmiao Wang Zhihang Lin Zhihang Lin Yushun Zhang Tian Ding Ruoyu Sun Ruoyu Sun CLL 72 1 0 30 Jul 2024
Diffusion Models for Multi-Task Generative Modeling Changyou Chen Han Ding Bunyamin Sisman Yi Tian Xu Ouye Xie Benjamin Z. Yao Son Dinh Tran Belinda Zeng DiffM 32 4 0 24 Jul 2024
Model editing for distribution shifts in uranium oxide morphological analysis Davis Brown Cody Nizinski Madelyn Shapiro Corey Fallon Tianzhixi Yin Henry Kvinge Jonathan Tu 31 0 0 22 Jul 2024
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives D. Hagos Rick Battle Danda B. Rawat LM&MA OffRL 20 21 0 20 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 57 5 0 10 Jul 2024
Scaling Up Personalized Aesthetic Assessment via Task Vector Customization Jooyeol Yun Jaegul Choo MoMe 18 2 0 09 Jul 2024
MagMax: Leveraging Model Merging for Seamless Continual Learning Daniel Marczak Bartłomiej Twardowski Tomasz Trzciñski Sebastian Cygert MoMe CLL 26 17 0 08 Jul 2024
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis Stefan Horoi Albert Manuel Orozco Camacho Eugene Belilovsky Guy Wolf FedML MoMe 19 9 0 07 Jul 2024
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy Tao Li Weisen Jiang Fanghui Liu X. Huang James T. Kwok MoMe 51 1 0 04 Jul 2024
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling Frederic Z. Zhang Paul Albert Cristian Rodriguez-Opazo Anton van den Hengel Ehsan Abbasnejad MoMe 37 7 0 03 Jul 2024
PLeaS -- Merging Models with Permutations and Least Squares Anshul Nasery J. Hayase Pang Wei Koh Sewoong Oh MoMe 36 3 0 02 Jul 2024
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization Bingdong Li Zixiang Di Yanting Yang Hong Qian Peng Yang Hao Hao Ke Tang Aimin Zhou MoMe 19 5 0 29 Jun 2024
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs Quanming Yao Yongqi Zhang Yaqing Wang Nan Yin James Kwok Qiang Yang 21 0 0 29 Jun 2024
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization Hongjun Choi Jayaraman J. Thiagarajan Ruben Glatt Shusen Liu 31 0 0 29 Jun 2024
Evaluating Copyright Takedown Methods for Language Models Boyi Wei Weijia Shi Yangsibo Huang Noah A. Smith Chiyuan Zhang Luke Zettlemoyer Kai Li Peter Henderson 49 19 0 26 Jun 2024
Sequential Editing for Lifelong Training of Speech Recognition Models Devang Kulshreshtha Saket Dingliwal Brady C. Houston Nikolaos Pappas S. Ronanki KELM CLL 19 1 0 25 Jun 2024
Benchmarking Mental State Representations in Language Models Matteo Bortoletto Constantin Ruhdorfer Lei Shi Andreas Bulling AI4MH LRM 36 4 0 25 Jun 2024
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda Berivan Isik Xiangyu Qi Sanmi Koyejo Tsachy Weissman Prateek Mittal MoMe 45 12 0 24 Jun 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies Alexandre Ramé Johan Ferret Nino Vieillard Robert Dadashi Léonard Hussenot Pierre-Louis Cedoz Pier Giuseppe Sessa Sertan Girgin Arthur Douillard Olivier Bachem 47 13 0 24 Jun 2024
Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning Bowen Zheng Ming Ma Zhongqiao Lin Tianming Yang 21 1 0 23 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 33 3 0 21 Jun 2024
Towards Minimal Targeted Updates of Language Models with Targeted Negative Training Lily H. Zhang Rajesh Ranganath Arya Tafvizi 28 1 0 19 Jun 2024
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts Junmo Kang Leonid Karlinsky Hongyin Luo Zhen Wang Jacob A. Hansen James Glass David D. Cox Rameswar Panda Rogerio Feris Alan Ritter MoMe MoE 34 8 0 17 Jun 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs S. Kadhe Farhan Ahmed Dennis Wei Nathalie Baracaldo Inkit Padhi MoMe MU 21 5 0 17 Jun 2024
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic Yuyan Zhou Liang Song Bingning Wang Weipeng Chen MoMe 23 15 0 17 Jun 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion Chenghao Fan Zhenyi Lu Wei Wei Jie Tian Xiaoye Qu Dangyang Chen Yu Cheng MoMe 41 5 0 17 Jun 2024