Sycophancy Claims about Language Models: The Missing Human-in-the-Loop
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915645301456896 |
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| author | Batzner, Jan Stocker, Volker Schmid, Stefan Kasneci, Gjergji |
| author_facet | Batzner, Jan Stocker, Volker Schmid, Stefan Kasneci, Gjergji |
| contents | Sycophantic response patterns in Large Language Models (LLMs) have been increasingly claimed in the literature. We review methodological challenges in measuring LLM sycophancy and identify five core operationalizations. Despite sycophancy being inherently human-centric, current research does not evaluate human perception. Our analysis highlights the difficulties in distinguishing sycophantic responses from related concepts in AI alignment and offers actionable recommendations for future research. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2512_00656 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sycophancy Claims about Language Models: The Missing Human-in-the-Loop Batzner, Jan Stocker, Volker Schmid, Stefan Kasneci, Gjergji Computation and Language Computers and Society Sycophantic response patterns in Large Language Models (LLMs) have been increasingly claimed in the literature. We review methodological challenges in measuring LLM sycophancy and identify five core operationalizations. Despite sycophancy being inherently human-centric, current research does not evaluate human perception. Our analysis highlights the difficulties in distinguishing sycophantic responses from related concepts in AI alignment and offers actionable recommendations for future research. |
| title | Sycophancy Claims about Language Models: The Missing Human-in-the-Loop |
| topic | Computation and Language Computers and Society |
| url | https://arxiv.org/abs/2512.00656 |