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Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
7 June 2023
Naoki Egami
Musashi Jacobs-Harukawa
Brandon M Stewart
Hanying Wei
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Papers citing
"Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models"
7 / 7 papers shown
Title
Cost-Optimal Active AI Model Evaluation
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09 Jun 2025
Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation
Hannes Waldetoft
Jakob Torgander
Måns Magnusson
59
1
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05 May 2025
Automated Annotation of Evolving Corpora for Augmenting Longitudinal Network Data: A Framework Integrating Large Language Models and Expert Knowledge
Xiao Liu
Zirui Wu
Jiayi Li
Zhicheng Shao
Xun Pang
Yansong Feng
128
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0
03 Mar 2025
Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations
Neale Ratzlaff
Matthew Lyle Olson
Musashi Hinck
Shao-Yen Tseng
Vasudev Lal
Phillip Howard
110
0
0
17 Oct 2024
ipd: An R Package for Conducting Inference on Predicted Data
Stephen Salerno
J. Miao
Awan Afiaz
Kentaro Hoffman
Anna Neufeld
Qiongshi Lu
Tyler H. McCormick
J. Leek
60
1
0
12 Oct 2024
Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals
Zening Duan
Anqi Shao
Yicheng Hu
Heysung Lee
Xining Liao
Yoo Ji Suh
Jisoo Kim
Kai-Cheng Yang
Kaiping Chen
Sijia Yang
53
1
0
10 Dec 2023
Assumption-lean inference for generalised linear model parameters
S. Vansteelandt
O. Dukes
CML
150
54
0
15 Jun 2020
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