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Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions

Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions

22 May 2025
Zishuo Bao
Yibo Liu
Changyutao Qiu
ArXiv (abs)PDFHTML

Papers citing "Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions"

13 / 13 papers shown
Title
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Chaeyun Jang
Hyungi Lee
Jungtaek Kim
Juho Lee
MoMe
136
4
0
11 Nov 2024
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
Han Shen
Pin-Yu Chen
Payel Das
Tianyi Chen
ALM
116
23
0
09 Oct 2024
Large Language Models to Enhance Bayesian Optimization
Large Language Models to Enhance Bayesian Optimization
Tennison Liu
Nicolás Astorga
Nabeel Seedat
M. Schaar
156
59
0
06 Feb 2024
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
115
31
0
01 Aug 2023
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and
  Generative Fusion
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Dongfu Jiang
Xiang Ren
Bill Yuchen Lin
ELM
105
334
0
05 Jun 2023
Multi-Objective Bayesian Optimization over High-Dimensional Search
  Spaces
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
113
113
0
22 Sep 2021
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
796
24,615
0
26 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.9K
95,554
0
11 Oct 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
245
1,102
0
04 Jul 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
1.2K
7,211
0
20 Apr 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedMLMoMe
189
1,672
0
14 Mar 2018
Predictive Entropy Search for Multi-objective Bayesian Optimization
Predictive Entropy Search for Multi-objective Bayesian Optimization
Daniel Hernández-Lobato
José Miguel Hernández-Lobato
Amar Shah
Ryan P. Adams
161
190
0
17 Nov 2015
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
395
8,002
0
13 Jun 2012
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