Claims

The benefit of high- versus low-contrast sampling depends on the dataset

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? High-contrast sampling (bucket gap 7–9) is the stronger choice on GSM8K, while low-contrast sampling (gap 4–6) wins on BBH-structured; the mixed strategy is the more stable option. → Peng Cui 2026

Evidence

Peng Cui 2026

Peng Cui, Qiaoyuan Zheng, Rudolf Debelak, Mrinmaya Sachan. (2026). What Makes Something Hard(er)? Explaining Question Difficulty in Natural Language. Preprint. https://arxiv.org/abs/2610.01627 doi:10.48550/arxiv.2610.01627

q2 · i? · causal · r2

Contrast-strength ablation (Figure 5) comparing high-contrast (bucket gap δ≥7), low-contrast (4≤δ≤6), and mixed sampling on GSM8K and BBH-structured. The article reports the opposite ordering across datasets and calls the mixture "a more stable option".

"The two strategies behave in opposite ways on the two datasets: high contrast is the stronger choice on GSM8K, while low contrast wins on BBH-structured."

Discussion

Page metadata
Field Value
type claim
id contrast-strength-benefit-is-dataset-dependent
title The benefit of high- versus low-contrast sampling depends on the dataset
description The benefit of high- versus low-contrast sampling depends on the dataset
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — peng-cui-2026

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