Knowledge Fusion of Large Language Models

Knowledge Fusion of Large Language Models

19 January 2024

Wei Bi

Papers citing "Knowledge Fusion of Large Language Models"

17 / 17 papers shown

Title
FuseRL: Dense Preference Optimization for Heterogeneous Model Fusion Longguang Zhong Fanqi Wan Ziyi Yang Guosheng Liang Tianyuan Shi Xiaojun Quan MoMe 53 0 0 09 Apr 2025
Cross-Tokenizer Distillation via Approximate Likelihood Matching Benjamin Minixhofer Ivan Vulić E. Ponti 54 0 0 25 Mar 2025
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems Tadahiro Taniguchi Yasushi Hirai Masahiro Suzuki Shingo Murata Takato Horii Kazutoshi Tanaka AI4CE 49 0 0 08 Mar 2025
Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding Z. Wang Muneeza Azmart Ang Li R. Horesh Mikhail Yurochkin 104 0 0 11 Feb 2025
Multi-Task Model Merging via Adaptive Weight Disentanglement Feng Xiong Runxi Cheng Wang Chen Zhanqiu Zhang Yiwen Guo Chun Yuan Ruifeng Xu MoMe 83 4 0 10 Jan 2025
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Bradley Brown Jordan Juravsky Ryan Ehrlich Ronald Clark Quoc V. Le Christopher Ré Azalia Mirhoseini ALM LRM 76 207 0 03 Jan 2025
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles Buu Phan Brandon Amos Itai Gat Marton Havasi Matthew Muckley Karen Ullrich 39 1 0 11 Oct 2024
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling Yuxuan Yao Han Wu Mingyang Liu Sichun Luo Xiongwei Han Jie Liu Zhijiang Guo Linqi Song 45 4 0 03 Oct 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
A Survey on Self-Evolution of Large Language Models Zhengwei Tao Ting-En Lin Xiancai Chen Hangyu Li Yuchuan Wu Yongbin Li Zhi Jin Fei Huang Dacheng Tao Jingren Zhou LRM LM&Ro 43 21 0 22 Apr 2024
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking Xiao Chen Sihang Zhou K. Liang Xinwang Liu ReLM LRM 27 2 0 14 Apr 2024
Large Language Models: A Survey Shervin Minaee Tomáš Mikolov Narjes Nikzad M. Asgari-Chenaghlu R. Socher Xavier Amatriain Jianfeng Gao ALM LM&MA ELM 107 347 0 09 Feb 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 198 283 0 03 May 2023
Instruction Tuning with GPT-4 Baolin Peng Chunyuan Li Pengcheng He Michel Galley Jianfeng Gao SyDa ALM LM&MA 154 576 0 06 Apr 2023
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 186 128 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 213 338 0 17 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020