ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.00949
  4. Cited By
Hyperparameter Optimization for Large Language Model Instruction-Tuning

Hyperparameter Optimization for Large Language Model Instruction-Tuning

1 December 2023
C. Tribes
Sacha Benarroch-Lelong
Peng Lu
I. Kobyzev
ArXivPDFHTML

Papers citing "Hyperparameter Optimization for Large Language Model Instruction-Tuning"

10 / 10 papers shown
Title
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent
Humza Nusrat
Bing Luo
Ryan Hall
Joshua Kim
H. Bagher-Ebadian
Anthony Doemer
B. Movsas
Kundan Thind
AI4CE
34
0
0
21 Mar 2025
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems
Matthew Barker
Andrew Bell
Evan Thomas
James Carr
Thomas Andrews
Umang Bhatt
80
1
0
25 Feb 2025
Robust and Efficient Fine-tuning of LLMs with Bayesian
  Reparameterization of Low-Rank Adaptation
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
Ayan Sengupta
Vaibhav Seth
Arinjay Pathak
Natraj Raman
Sriram Gopalakrishnan
Tanmoy Chakraborty
BDL
21
2
0
07 Nov 2024
An investigation on the use of Large Language Models for hyperparameter
  tuning in Evolutionary Algorithms
An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
Leonardo Lucio Custode
Fabio Caraffini
Anil Yaman
Giovanni Iacca
35
2
0
05 Aug 2024
ABC Align: Large Language Model Alignment for Safety & Accuracy
ABC Align: Large Language Model Alignment for Safety & Accuracy
Gareth Seneque
Lap-Hang Ho
Peter W. Glynn
Yinyu Ye
Jeffrey Molendijk
31
1
0
01 Aug 2024
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM
  Tuning in Real-World Applications
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications
Alon Halfon
Shai Gretz
Ofir Arviv
Artem Spector
Orith Toledo-Ronen
Yoav Katz
L. Ein-Dor
Michal Shmueli-Scheuer
Noam Slonim
27
2
0
25 Jul 2024
FunBO: Discovering Acquisition Functions for Bayesian Optimization with
  FunSearch
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
Virginia Aglietti
Ira Ktena
Jessica Schrouff
Eleni Sgouritsa
Francisco J. R. Ruiz
Alan Malek
Alexis Bellot
Silvia Chiappa
27
2
0
07 Jun 2024
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,881
0
04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
205
1,654
0
15 Oct 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
804
0
14 Oct 2021
1