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Using Imperfect Surrogates for Downstream Inference: Design-based
  Supervised Learning for Social Science Applications of Large Language Models

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
ArXivPDFHTML

Papers citing "Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models"

5 / 5 papers shown
Title
Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation
Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation
Hannes Waldetoft
Jakob Torgander
Måns Magnusson
29
0
0
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
60
0
0
03 Mar 2025
Debiasing Large Vision-Language Models by Ablating Protected Attribute
  Representations
Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations
Neale Ratzlaff
Matthew Lyle Olson
Musashi Hinck
Shao-Yen Tseng
Vasudev Lal
Phillip Howard
31
0
0
17 Oct 2024
ipd: An R Package for Conducting Inference on Predicted Data
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
36
1
0
12 Oct 2024
Constructing Vec-tionaries to Extract Message Features from Texts: A
  Case Study of Moral Appeals
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
17
1
0
10 Dec 2023
1