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. 2211.01568
  4. Cited By
Fine-Tuning Language Models via Epistemic Neural Networks

Fine-Tuning Language Models via Epistemic Neural Networks

3 November 2022
Ian Osband
S. Asghari
Benjamin Van Roy
Nat McAleese
John Aslanides
G. Irving
    UQLM
ArXivPDFHTML

Papers citing "Fine-Tuning Language Models via Epistemic Neural Networks"

9 / 9 papers shown
Title
Random-Set Large Language Models
Random-Set Large Language Models
Muhammad Mubashar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
66
0
0
25 Apr 2025
Distinguishing the Knowable from the Unknowable with Language Models
Distinguishing the Knowable from the Unknowable with Language Models
Gustaf Ahdritz
Tian Qin
Nikhil Vyas
Boaz Barak
Benjamin L. Edelman
37
19
0
05 Feb 2024
Reducing LLM Hallucinations using Epistemic Neural Networks
Reducing LLM Hallucinations using Epistemic Neural Networks
Shreyas Verma
Kien Tran
Yusuf Ali
Guangyu Min
38
8
0
25 Dec 2023
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
375
12,081
0
04 Mar 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,532
0
23 Jan 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
301
1,616
0
18 Sep 2019
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
304
6,996
0
20 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,683
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1