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Semantic Density: Uncertainty Quantification in Semantic Space for Large
  Language Models

Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models

22 May 2024
Xin Qiu
Risto Miikkulainen
ArXivPDFHTML

Papers citing "Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models"

3 / 3 papers shown
Title
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
85
0
0
25 Apr 2025
Uncertainty Quantification with Pre-trained Language Models: A
  Large-Scale Empirical Analysis
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Yuxin Xiao
Paul Pu Liang
Umang Bhatt
W. Neiswanger
Ruslan Salakhutdinov
Louis-Philippe Morency
173
86
0
10 Oct 2022
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
289
0
17 Mar 2020
1