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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection

17 November 2024
Tomas Horych
Christoph Mandl
Terry Ruas
André Greiner-Petter
Bela Gipp
Akiko Aizawa
Timo Spinde
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Papers citing "The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection"

3 / 3 papers shown
Title
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
Timo Spinde
Luyang Lin
Smi Hinterreiter
Isao Echizen
62
0
0
01 Apr 2025
Through the LLM Looking Glass: A Socratic Probing of Donkeys, Elephants, and Markets
Through the LLM Looking Glass: A Socratic Probing of Donkeys, Elephants, and Markets
Molly Kennedy
Ayyoob Imani
Timo Spinde
Hinrich Schütze
60
1
0
20 Mar 2025
Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent
Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent
Zeyu He
Saniya Naphade
Ting-Hao 'Kenneth' Huang
51
0
0
16 Feb 2025
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