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Uncertainty Quantification for In-Context Learning of Large Language
  Models

Uncertainty Quantification for In-Context Learning of Large Language Models

15 February 2024
Chen Ling
Xujiang Zhao
Xuchao Zhang
Wei Cheng
Yanchi Liu
Yiyou Sun
Mika Oishi
Takao Osaki
Katsushi Matsuda
Jie Ji
Guangji Bai
Liang Zhao
Haifeng Chen
ArXivPDFHTML

Papers citing "Uncertainty Quantification for In-Context Learning of Large Language Models"

11 / 11 papers shown
Title
Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection
Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection
Pei-Fu Guo
Yun-Da Tsai
Shou-De Lin
UD
29
0
0
12 May 2025
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
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning
Zhe Huang
Simone Rossi
Rui Yuan
T. Hannagan
22
0
0
22 Apr 2025
Language Model Uncertainty Quantification with Attention Chain
Language Model Uncertainty Quantification with Attention Chain
Yinghao Li
Rushi Qiang
Lama Moukheiber
Chao Zhang
LRM
41
0
0
24 Mar 2025
MAP: Multi-user Personalization with Collaborative LLM-powered Agents
MAP: Multi-user Personalization with Collaborative LLM-powered Agents
Christine P. Lee
Jihye Choi
Bilge Mutlu
LLMAG
65
0
1
17 Mar 2025
A Survey of Uncertainty Estimation Methods on Large Language Models
Zhiqiu Xia
Jinxuan Xu
Yuqian Zhang
Hang Liu
28
1
0
28 Feb 2025
LLM Confidence Evaluation Measures in Zero-Shot CSS Classification
LLM Confidence Evaluation Measures in Zero-Shot CSS Classification
David Farr
Iain Cruickshank
Nico Manzonelli
Nicholas Clark
Kate Starbird
Jevin West
25
0
0
16 Oct 2024
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
162
86
0
10 Oct 2022
Uncertainty Aware Semi-Supervised Learning on Graph Data
Uncertainty Aware Semi-Supervised Learning on Graph Data
Xujiang Zhao
Feng Chen
Shu Hu
Jin-Hee Cho
UQCV
EDL
BDL
102
100
0
24 Oct 2020
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
231
288
0
17 Mar 2020
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