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2311.08877
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Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
15 November 2023
Vaishnavi Shrivastava
Percy Liang
Ananya Kumar
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Papers citing
"Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation"
22 / 22 papers shown
Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
94
0
0
25 Apr 2025
Gauging Overprecision in LLMs: An Empirical Study
Adil Bahaj
Hamed Rahimi
Mohamed Chetouani
Mounir Ghogho
75
0
0
16 Apr 2025
The challenge of uncertainty quantification of large language models in medicine
Zahra Atf
Seyed Amir Ahmad Safavi-Naini
Peter Lewis
Aref Mahjoubfar
Nariman Naderi
Thomas Savage
Ali Soroush
21
0
0
07 Apr 2025
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
Liangjie Huang
Dawei Li
Huan Liu
Lu Cheng
LRM
36
0
0
03 Apr 2025
Calibrating LLM Confidence with Semantic Steering: A Multi-Prompt Aggregation Framework
Ziang Zhou
Tianyuan Jin
Jieming Shi
Qing Li
LLMSV
70
0
0
04 Mar 2025
I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning
Stephan Rabanser
Nathalie Rauschmayr
Achin Kulshrestha
Petra Poklukar
Wittawat Jitkrittum
Sean Augenstein
Congchao Wang
Federico Tombari
42
0
0
26 Feb 2025
A Survey of Calibration Process for Black-Box LLMs
Liangru Xie
Hui Liu
Jingying Zeng
Xianfeng Tang
Yan Han
Chen Luo
Jing Huang
Zhen Li
Suhang Wang
Qi He
74
1
0
17 Dec 2024
Epistemic Integrity in Large Language Models
Bijean Ghafouri
Shahrad Mohammadzadeh
James Zhou
Pratheeksha Nair
Jacob-Junqi Tian
Mayank Goel
Reihaneh Rabbany
Jean-Francois Godbout
Kellin Pelrine
HILM
48
0
0
10 Nov 2024
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
Hsiu-Yuan Huang
Yutong Yang
Zhaoxi Zhang
Sanwoo Lee
Yunfang Wu
44
10
0
20 Oct 2024
Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration
Jeremy Qin
Bang Liu
Quoc Dinh Nguyen
37
2
0
05 Sep 2024
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
Urja Khurana
Eric T. Nalisnick
Antske Fokkens
Swabha Swayamdipta
42
3
0
26 Aug 2024
Know Your Limits: A Survey of Abstention in Large Language Models
Bingbing Wen
Jihan Yao
Shangbin Feng
Chenjun Xu
Yulia Tsvetkov
Bill Howe
Lucy Lu Wang
59
11
0
25 Jul 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans
Catarina G Belém
Markelle Kelly
M. Steyvers
Sameer Singh
Padhraic Smyth
43
3
0
22 Jul 2024
Collaborative Performance Prediction for Large Language Models
Qiyuan Zhang
Fuyuan Lyu
Xue Liu
Chen Ma
32
3
0
01 Jul 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
Di Wu
Jia-Chen Gu
Fan Yin
Nanyun Peng
Kai-Wei Chang
HILM
58
1
0
19 Jun 2024
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs
Yi Fang
Moxin Li
Wenjie Wang
Hui Lin
Fuli Feng
LRM
65
5
0
17 Jun 2024
Cycles of Thought: Measuring LLM Confidence through Stable Explanations
Evan Becker
Stefano Soatto
45
6
0
05 Jun 2024
Language Model Cascades: Token-level uncertainty and beyond
Neha Gupta
Harikrishna Narasimhan
Wittawat Jitkrittum
A. S. Rawat
A. Menon
Sanjiv Kumar
UQLM
53
42
0
15 Apr 2024
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models
Pei Wang
Yejie Wang
Muxi Diao
Keqing He
Guanting Dong
Weiran Xu
26
0
0
17 Feb 2024
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
Xiaoying Zhang
Baolin Peng
Ye Tian
Jingyan Zhou
Lifeng Jin
Linfeng Song
Haitao Mi
Helen Meng
HILM
42
45
0
14 Feb 2024
Incoherent Probability Judgments in Large Language Models
Jian-Qiao Zhu
Thomas L. Griffiths
83
6
0
30 Jan 2024
A Survey of Confidence Estimation and Calibration in Large Language Models
Jiahui Geng
Fengyu Cai
Yuxia Wang
Heinz Koeppl
Preslav Nakov
Iryna Gurevych
UQCV
41
56
0
14 Nov 2023
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