C003¶


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

Claim: The formal analysis attributes sycophancy amplification to systematic bias in preference data, not algorithmic failures.

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: Very likely (80-95%) | Confidence: High

Summary¶

Entity	Description
Claim Definition	Claim text, scope, status
Assessment	Full analytical product with reasoning chain
ACH Matrix	Evidence x hypotheses diagnosticity analysis
Self-Audit	ROBIS-adapted 5-domain audit

Hypotheses¶

ID	Hypothesis	Status
H1	The claim accurately captures the paper's attribution	Supported
H2	The distinction between data bias and algorithmic failure may be overly simplified	Not supported
H3	The paper attributes sycophancy to algorithmic failures	Eliminated

Searches¶

ID	Target	Results	Selected
S01	Systematic bias preference data not algorithmic failures sycophancy RLHF	10	1

Sources¶

Source	Description	Reliability	Relevance
SRC01	Shapira et al. (2026) — How RLHF Amplifies Sycophancy	High	High

Revisit Triggers¶

If the distinction between data bias and algorithmic failure is shown to be false