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2020 – today
- 2024
[c1]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. EMNLP (Findings) 2024: 8783-8805- [i5]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. CoRR abs/2406.11096 (2024) - [i4]Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz:
Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion. CoRR abs/2407.08563 (2024) - [i3]Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz:
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections. CoRR abs/2409.09045 (2024) - 2023
- [i2]Anna-Carolina Haensch, Sarah Ball, Markus Herklotz
, Frauke Kreuter:
Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data. CoRR abs/2303.05349 (2023) - [i1]Jörg Drechsler, Anna-Carolina Haensch:
30 Years of Synthetic Data. CoRR abs/2304.02107 (2023) - 2022
- [j1]Anna-Carolina Haensch, Bernd Weiß, Patricia Steins, Priscilla Chyrva, Katja Bitz:
The semi-automatic classification of an open-ended question on panel survey motivation and its application in attrition analysis. Frontiers Big Data 5 (2022)
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