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Calibration Meets Explanation: A Simple and Effective Approach for Model
  Confidence Estimates

Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates

6 November 2022
Dongfang Li
Baotian Hu
Qingcai Chen
ArXivPDFHTML

Papers citing "Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates"

11 / 11 papers shown
Title
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models
Haibin Chen
Kangtao Lv
Chengwei Hu
Y. Li
Yujin Yuan
...
Xingyao Zhang
L. Liu
Shilei Liu
Wenbo Su
Bo Zheng
ELM
51
0
0
27 Feb 2025
Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against
  Forecasting Harmful User Behaviors
Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors
Anthony Sicilia
Malihe Alikhani
26
2
0
17 Oct 2024
Predict the Next Word: Humans exhibit uncertainty in this task and
  language models _____
Predict the Next Word: Humans exhibit uncertainty in this task and language models _____
Evgenia Ilia
Wilker Aziz
29
2
0
27 Feb 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label
  Variation?
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Joris Baan
Raquel Fernández
Barbara Plank
Wilker Aziz
51
10
0
25 Feb 2024
Deal, or no deal (or who knows)? Forecasting Uncertainty in
  Conversations using Large Language Models
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models
Anthony Sicilia
Hyunwoo J. Kim
Khyathi Raghavi Chandu
Malihe Alikhani
Jack Hessel
18
1
0
05 Feb 2024
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection
  Method
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
Yukun Zhao
Lingyong Yan
Weiwei Sun
Guoliang Xing
Chong Meng
Shuaiqiang Wang
Zhicong Cheng
Zhaochun Ren
Dawei Yin
29
35
0
27 Oct 2023
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation
Robert Litschko
Max Müller-Eberstein
Rob van der Goot
Leon Weber
Barbara Plank
LRM
21
2
0
09 Oct 2023
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain
  Performance and Calibration
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration
Rachneet Sachdeva
Martin Tutek
Iryna Gurevych
OODD
32
10
0
14 Sep 2023
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
289
0
17 Mar 2020
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
5,661
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
285
9,138
0
06 Jun 2015
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