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Enhancing Confidence Expression in Large Language Models Through
  Learning from Past Experience

Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

16 April 2024
Haixia Han
Tingyun Li
Shisong Chen
Jie Shi
Chengyu Du
Yanghua Xiao
Jiaqing Liang
Xin Lin
ArXivPDFHTML

Papers citing "Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience"

9 / 9 papers shown
Title
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on
  Large Language Models
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
Boyang Xue
Fei Mi
Qi Zhu
Hongru Wang
Rui Wang
Sheng Wang
Erxin Yu
Xuming Hu
Kam-Fai Wong
HILM
74
0
0
16 Dec 2024
Label-Confidence-Aware Uncertainty Estimation in Natural Language
  Generation
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation
Qinhong Lin
Linna Zhou
Zhongliang Yang
Yuang Cai
HILM
75
0
0
10 Dec 2024
MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
Boyang Xue
Hongru Wang
Rui Wang
Sheng Wang
Zezhong Wang
Yiming Du
Bin Liang
Kam-Fai Wong
29
0
0
16 Oct 2024
Taming Overconfidence in LLMs: Reward Calibration in RLHF
Taming Overconfidence in LLMs: Reward Calibration in RLHF
Jixuan Leng
Chengsong Huang
Banghua Zhu
Jiaxin Huang
34
7
0
13 Oct 2024
A Survey on the Honesty of Large Language Models
A Survey on the Honesty of Large Language Models
Siheng Li
Cheng Yang
Taiqiang Wu
Chufan Shi
Yuji Zhang
...
Jie Zhou
Yujiu Yang
Ngai Wong
Xixin Wu
Wai Lam
HILM
32
4
0
27 Sep 2024
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,248
0
21 Mar 2022
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
319
11,953
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
258
4,489
0
23 Jan 2020
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
285
9,138
0
06 Jun 2015
1