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Citations per year
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Cited by
All
Since 2019
Citations
17
17
h-index
3
3
i10-index
0
0
0
10
5
2023
2024
6
10
Co-authors
Brandon M. Stewart
Princeton University
Verified email at princeton.edu
Naoki Egami
Columbia University
Verified email at columbia.edu
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Musashi Hinck
Other names
Musashi Jacobs-Harukawa
Research Scientist, Intel Labs
Verified email at intel.com -
Homepage
computational social science
natural language processing
quantitative methodology
Articles
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Year
Using large language model annotations for valid downstream statistical inference in social science: Design-based semi-supervised learning
N Egami, M Hinck, BM Stewart, H Wei
arXiv preprint arXiv:2306.04746
, 2023
7
2023
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
P Röttger, V Hofmann, V Pyatkin, M Hinck, HR Kirk, H Schütze, D Hovy
arXiv preprint arXiv:2402.16786
, 2024
3
2024
Do we still need BERT in the age of GPT? Comparing the benefits of domain-adaptation and in-context-learning approaches to using LLMs for Political Science Research
M Bosley, M Jacobs-Harukawa, H Licht, A Hoyle
3
2023
Using imperfect surrogates for downstream inference: Design-based supervised learning for social science applications of large language models
N Egami, M Hinck, B Stewart, H Wei
Advances in Neural Information Processing Systems 36
, 2024
2
2024
Does microtargeting work? evidence from an experiment during the 2020 united states presidential election
M Jacobs-Harukawa
Github. https://muhark. github. io/static/docs/harukawa-2021-microtargeting …
, 2022
2
2022
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