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Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization

Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization

21 February 2025
Fernando Spadea
Oshani Seneviratne
ArXivPDFHTML

Papers citing "Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization"

3 / 3 papers shown
Title
Universal and Transferable Adversarial Attacks on Aligned Language
  Models
Universal and Transferable Adversarial Attacks on Aligned Language Models
Andy Zou
Zifan Wang
Nicholas Carlini
Milad Nasr
J. Zico Kolter
Matt Fredrikson
145
1,376
0
27 Jul 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng
Wei-Lin Chiang
Ying Sheng
Siyuan Zhuang
Zhanghao Wu
...
Dacheng Li
Eric Xing
Haotong Zhang
Joseph E. Gonzalez
Ion Stoica
ALM
OSLM
ELM
212
4,085
0
09 Jun 2023
Measuring the Effects of Non-Identical Data Distribution for Federated
  Visual Classification
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
101
1,128
0
13 Sep 2019
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