RESEARCHMonitorWATCHLIST
Reporting Under Pressure: Separating Factual and Tonal Sycophancy in LLM Statistical Analysis
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
An arXiv study reveals how prompt framing induces factual and tonal sycophancy in LLMs when reporting statistical analysis.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 24 September 2026
- Collected by OneBench
- 25 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.27756v1 Announce Type: cross Abstract: Large language models are increasingly asked to analyze data and report what the results mean, a task distinct from the…
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The factual summary is a OneBench synthesis, not a quotation or independent verification. Collection time is not publication time. Open the source for its full context; related reporting can share the same underlying announcement.