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Fact-Checking the Output of Large Language Models via Token-Level
  Uncertainty Quantification

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

7 March 2024
Ekaterina Fadeeva
Aleksandr Rubashevskii
Artem Shelmanov
Sergey Petrakov
Haonan Li
Hamdy Mubarak
Evgenii Tsymbalov
Gleb Kuzmin
Alexander Panchenko
Timothy Baldwin
Preslav Nakov
Maxim Panov
    HILM
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Papers citing "Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification"

13 / 13 papers shown
Title
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
Dylan Bouchard
Mohit Singh Chauhan
HILM
70
0
0
27 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
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
79
0
0
25 Apr 2025
Span-Level Hallucination Detection for LLM-Generated Answers
Span-Level Hallucination Detection for LLM-Generated Answers
Passant Elchafei
Mervet Abu-Elkheir
HILM
LRM
51
1
0
25 Apr 2025
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
Yuqing Nie
Chong Wang
K. Wang
Guoai Xu
Guosheng Xu
Haoyu Wang
OffRL
37
0
0
11 Oct 2024
Loki: An Open-Source Tool for Fact Verification
Loki: An Open-Source Tool for Fact Verification
Haonan Li
Xudong Han
Hao Wang
Yuxia Wang
Minghan Wang
Rui Xing
Yilin Geng
Zenan Zhai
Preslav Nakov
Timothy Baldwin
SyDa
HILM
32
3
0
02 Oct 2024
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
Xinyue Fang
Zhen Huang
Zhiliang Tian
Minghui Fang
Ziyi Pan
Quntian Fang
Zhihua Wen
Hengyue Pan
Dongsheng Li
HILM
80
2
0
17 Sep 2024
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
Yuxin Jiang
Bo Huang
Yufei Wang
Xingshan Zeng
Liangyou Li
Yasheng Wang
Xin Jiang
Lifeng Shang
Ruiming Tang
Wei Wang
40
5
0
14 Aug 2024
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Roman Vashurin
Ekaterina Fadeeva
Artem Vazhentsev
Akim Tsvigun
Daniil Vasilev
...
Timothy Baldwin
Timothy Baldwin
Maxim Panov
Artem Shelmanov
Artem Shelmanov
HILM
53
7
0
21 Jun 2024
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
Bairu Hou
Yang Zhang
Jacob Andreas
Shiyu Chang
57
5
0
11 Jun 2024
Out-of-Distribution Detection and Selective Generation for Conditional
  Language Models
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Jessie Ren
Jiaming Luo
Yao-Min Zhao
Kundan Krishna
Mohammad Saleh
Balaji Lakshminarayanan
Peter J. Liu
OODD
64
92
0
30 Sep 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
301
11,730
0
04 Mar 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural
  Network
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Nikita Kotelevskii
A. Artemenkov
Kirill Fedyanin
Fedor Noskov
Alexander Fishkov
Artem Shelmanov
Artem Vazhentsev
Aleksandr Petiushko
Maxim Panov
UQCV
BDL
34
25
0
07 Feb 2022
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
268
5,635
0
05 Dec 2016
1