R0057/2026-04-01/C005 — Assessment¶
BLUF¶
Confirmed. Wei et al. (2023) report reductions between 4.7% (Flan-PaLM-62B) and 10.0% (Flan-cont-PaLM-62B) across PaLM model variants.
Probability¶
Rating: Very likely (80-95%)
Confidence in assessment: High
Confidence rationale: Published at ICLR 2024 (top venue), from Google DeepMind researchers.
Reasoning Chain¶
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The paper evaluates PaLM models up to 540B parameters. Flan-cont-PaLM-62B showed 10.0% reduction; Flan-PaLM-62B showed 4.7% reduction; Flan-PaLM-8B showed 8.8% reduction. The intervention involved finetuning on prompts where truthfulness is independent of user opinion. [SRC01-E01, High reliability, High relevance]
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JUDGMENT: Confirmed. Wei et al. (2023) report reductions between 4.7% (Flan-PaLM-62B) and 10.0% (Flan-cont-PaLM-62B) across PaLM model variants.
Evidence Base Summary¶
| Source | Description | Reliability | Relevance | Key Finding |
|---|---|---|---|---|
| SRC01 | Wei et al. (2023) — Simple synthetic data reduces sycophancy | High | High | Synthetic data reduces sycophancy by 4.7% to 10.0% across PaLM model variants |
Collection Synthesis¶
| Dimension | Assessment |
|---|---|
| Evidence quality | High |
| Source agreement | High |
| Source independence | Medium |
| Outliers | None identified |
Detail¶
The evidence supports the assessment. Published at ICLR 2024 (top venue), from Google DeepMind researchers.
Gaps¶
| Missing Evidence | Impact on Assessment |
|---|---|
| Additional independent verification | Would strengthen confidence |
Researcher Bias Check¶
Declared biases: Anti-sycophancy bias could influence interpretation toward confirming sycophancy claims.
Influence assessment: Mitigated by reliance on peer-reviewed and primary sources.
Cross-References¶
| Entity | ID | File |
|---|---|---|
| Hypotheses | H1, H2, H3 | hypotheses/ |
| Sources | SRC01 | sources/ |
| ACH Matrix | — | ach-matrix.md |
| Self-Audit | — | self-audit.md |