Dataless Knowledge Fusion by Merging Weights of Language Models

Dataless Knowledge Fusion by Merging Weights of Language Models

19 December 2022

Xiang Ren

Daniel Preotiuc-Pietro

Pengxiang Cheng

Papers citing "Dataless Knowledge Fusion by Merging Weights of Language Models"

9 / 59 papers shown

Title
Herd: Using multiple, smaller LLMs to match the performances of proprietary, large LLMs via an intelligent composer S. N. Hari Matt Thomson 32 0 0 30 Oct 2023
Model Merging by Uncertainty-Based Gradient Matching Nico Daheim Thomas Möllenhoff E. Ponti Iryna Gurevych Mohammad Emtiyaz Khan MoMe FedML 32 43 0 19 Oct 2023
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation Xinshuo Hu Dongfang Li Baotian Hu Zihao Zheng Zhenyu Liu M. Zhang KELM MU 33 26 0 16 Aug 2023
UKP-SQuARE v3: A Platform for Multi-Agent QA Research Haritz Puerto Tim Baumgärtner Rachneet Sachdeva Haishuo Fang Haotian Zhang Sewin Tariverdian Kexin Wang Iryna Gurevych 26 2 0 31 Mar 2023
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning Shachar Don-Yehiya Elad Venezian Colin Raffel Noam Slonim Yoav Katz Leshem Choshen MoMe 28 52 0 02 Dec 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 252 314 0 11 Sep 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 196 128 0 19 May 2022
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 423 0 17 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018