arXiv — NLP / Computation & Language · · 3 min read

Group Alignment-Induced Sycophancy: A Two-Sided Evaluation of Steerable Pluralistic Alignment

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Computer Science > Computation and Language

arXiv:2608.11528 (cs)
[Submitted on 12 Aug 2026]

Title:Group Alignment-Induced Sycophancy: A Two-Sided Evaluation of Steerable Pluralistic Alignment

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Abstract:Group alignment adapts a language model to a demographic group to produce responses that reflect the group's opinions, values, and preferences. Sycophancy, a well-documented by-product of alignment, causes the model to over-agree with the user regardless of factual and objective information. However, existing group alignment methods and evaluations focus only on how closely the model matches the group's opinions, overlooking the induced change in sycophantic behaviour. To bridge this gap, we introduce \textbf{G}roup \textbf{A}lignment-induced \textbf{S}ycophancy (GAS) and systematically evaluate alignment across 3 methods, 4 models and 13 demographic groups, on both the intended gain in opinion alignment and the unintended shift in sycophancy. We find that gain and shift are non-uniform across groups: under an identical budget, some groups receive larger gains in opinion alignment than others, and the induced sycophancy shift forms a group-specific profile rather than a single-dimensional change. These results suggest that group alignment should be reported as a two-sided, multi-dimensional profile rather than a single fit score that accounts for per-group differences when adapting LLMs to diverse populations.
Comments: 9 pages main text, 23 pages in total, under review
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2608.11528 [cs.CL]
  (or arXiv:2608.11528v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2608.11528
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Haokai Zhao [view email]
[v1] Wed, 12 Aug 2026 00:39:24 UTC (400 KB)
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