E01¶


Research	R0057 — RLHF Yes-Men Claims v3
Run	2026-04-01
Claim	C004
Source	SRC01
Evidence	SRC01-E01
Type	Analytical

Data-level interventions (anti-sycophancy pairs, synthetic data) reduce sycophancy without algorithmic changes

URL: https://arxiv.org/html/2602.01002

Extract¶

Shapira et al. propose a training-time intervention that neutralizes sycophancy amplification through a minimal reward correction derived as a closed-form agreement penalty. Wei et al. demonstrate that synthetic non-sycophantic data reduces sycophancy by 4.7-10%.

Relevance to Hypotheses¶

Hypothesis	Relationship	Strength
H1	Supports	Directly addresses claim accuracy
H2	Supports	Allows for partial correctness
H3	Contradicts	Evidence contradicts material inaccuracy

Context¶

Multiple independent research teams demonstrate the same principle: changing the data changes the behavior.