ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.12215
  4. Cited By
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring
  Rules

Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules

18 April 2024
Paul Hofman
Yusuf Sale
Eyke Hüllermeier
    UQCV
    UD
    PER
ArXivPDFHTML

Papers citing "Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules"

2 / 2 papers shown
Title
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
59
7
0
21 Jun 2024
Scalable Bayesian Learning with posteriors
Scalable Bayesian Learning with posteriors
Samuel Duffield
Kaelan Donatella
Johnathan Chiu
Phoebe Klett
Daniel Simpson
BDL
UQCV
41
1
0
31 May 2024
1