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Tobias Holtdirk

Observed name: Holtdirk, Tobias
ORCID: 0009-0003-0352-3499
Observed ORCID: 0009-0003-0352-3499
OpenAlex ID: A5107805331
Fine-Tuning Large Language Models to Simulate German Voting Behaviour (Working Paper)
2024 · Tobias Holtdirk, Dennis Assenmacher, et al. · 1
tobihol/silicon-sample-submission: team_31 deposit snapshot (2026-08-31)
2026 · Tobias Holtdirk · Zenodo (CERN European Organization for Nuclear Research)
Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_31)
2026 · Holtdirk, Tobias, Ma, Bolei · Zenodo (CERN European Organization for Nuclear Research)
team_31 Silicon Sample Benchmark: primary entry (idea_03): raw agent logs (escrow, class B)
2026 · Holtdirk, Tobias · Zenodo (CERN European Organization for Nuclear Research)
Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_31)
2026 · Holtdirk, Tobias, Ma, Bolei · Zenodo (CERN European Organization for Nuclear Research)
Automated reproducibility assessments in the social and behavioral sciences using large language models
2026 · Stefan Feuerriegel, Tobias Holtdirk, et al. · Research Square
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Automated reproducibility assessments in the social and behavioral sciences using large language models
2026 · Holtdirk, Tobias, Marcolongo, Pietro, et al. · arXiv (Cornell University)
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In-Context Learning for the Imputation of Public Opinion Data with Large Language Models
2026 · Holtdirk, Tobias, Ahnert, Georg, et al. · arXiv (Cornell University)
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Automated reproducibility assessments in the social and behavioral sciences using large language models
2026 · Holtdirk, Tobias, Marcolongo, Pietro, et al.
Learning from Convenience Samples: Fine-Tuning LLMs to Predict Voting Choices from Biased Survey Samples
2025 · Holtdirk, Tobias, Assenmacher, Dennis, et al. · arXiv (Cornell University)
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Computational Reproducibility of R Code Supplements on OSF
2025 · Saju, Lorraine, Holtdirk, Tobias, et al. · arXiv (Cornell University)
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Connecting Natural Language Processing and Survey Methodology: Potentials, Challenges, and Open Questions
2025 · Indira Sen, Bolei Ma, et al.
PDF
Addressing Systematic Non-response Bias with Supervised Fine-Tuning of Large Language Models: A Case Study on German Voting Behaviour
2025 · Tobias Holtdirk, Dennis Assenmacher, et al.
Addressing Systematic Non-response Bias with Supervised Fine-Tuning of Large Language Models: A Case Study on German Voting Behaviour
2024 · Tobias Holtdirk, Dennis Assenmacher, et al.
Technical Report: Incorporating Blogs in Pollux
2024 · Holtdirk, Tobias, Smirnova, Nina · arXiv (Cornell University)
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Works count: 16
Citation count: 1
H-index: 1
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