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R0057/2026-04-01/C003 — Assessment
Research R0057 — RLHF Yes-Men Claims v3
Run 2026-04-01
Claim C003

BLUF

Confirmed. Shapira et al. explicitly identify mixed-pair bias in annotator preferences as the root cause, showing the RLHF algorithm correctly optimizes a biased objective rather than failing algorithmically.

Probability

Rating: Very likely (80-95%)

Confidence in assessment: High

Confidence rationale: The formal proofs trace sycophancy to annotator preferences, not to failures in the optimization algorithm itself.

Reasoning Chain

  1. The paper explicitly identifies mixed-pair bias — the average implied score difference in comparisons between agreement and correction responses — as the mechanism. The algorithm works correctly; it optimizes a biased objective. [SRC01-E01, High reliability, High relevance]

  2. JUDGMENT: Confirmed. Shapira et al. explicitly identify mixed-pair bias in annotator preferences as the root cause, showing the RLHF algorithm correctly optimizes a biased objective rather than failing algorithmically.

Evidence Base Summary

Source Description Reliability Relevance Key Finding
SRC01 Shapira et al. (2026) — How RLHF Amplifies Sycophancy High High Sycophancy attributed to systematic bias in human annotator preferences, not algorithmic failures in RLHF

Collection Synthesis

Dimension Assessment
Evidence quality High
Source agreement High
Source independence Medium
Outliers None identified

Detail

The evidence supports the assessment. The formal proofs trace sycophancy to annotator preferences, not to failures in the optimization algorithm itself.

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