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LM-Polygraph: Uncertainty Estimation for Language Models

LM-Polygraph: Uncertainty Estimation for Language Models

13 November 2023
Ekaterina Fadeeva
Roman Vashurin
Akim Tsvigun
Artem Vazhentsev
Sergey Petrakov
Kirill Fedyanin
Daniil Vasilev
Elizaveta Goncharova
Alexander Panchenko
Maxim Panov
Timothy Baldwin
Artem Shelmanov
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Papers citing "LM-Polygraph: Uncertainty Estimation for Language Models"

10 / 10 papers shown
Title
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home
Viktor Moskvoretskii
M. Lysyuk
Mikhail Salnikov
Nikolay Ivanov
Sergey Pletenev
Daria Galimzianova
Nikita Krayko
Vasily Konovalov
Irina Nikishina
Alexander Panchenko
RALM
74
4
0
24 Feb 2025
Do LLMs estimate uncertainty well in instruction-following?
Do LLMs estimate uncertainty well in instruction-following?
Juyeon Heo
Miao Xiong
Christina Heinze-Deml
Jaya Narain
ELM
50
3
0
18 Oct 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Wataru Hashimoto
Hidetaka Kamigaito
Taro Watanabe
57
0
0
02 Jul 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
68
8
0
21 Jun 2024
Crayon: Customized On-Device LLM via Instant Adapter Blending and
  Edge-Server Hybrid Inference
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference
Jihwan Bang
Juntae Lee
Kyuhong Shim
Seunghan Yang
Simyung Chang
34
5
0
11 Jun 2024
Language Model Cascades: Token-level uncertainty and beyond
Language Model Cascades: Token-level uncertainty and beyond
Neha Gupta
Harikrishna Narasimhan
Wittawat Jitkrittum
A. S. Rawat
A. Menon
Sanjiv Kumar
UQLM
50
42
0
15 Apr 2024
Enabling Weak LLMs to Judge Response Reliability via Meta Ranking
Enabling Weak LLMs to Judge Response Reliability via Meta Ranking
Zijun Liu
Boqun Kou
Peng Li
Ming Yan
Ji Zhang
Fei Huang
Yang Liu
32
2
0
19 Feb 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
69
94
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
313
11,953
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
53
25
0
07 Feb 2022
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