The benefit of high- versus low-contrast sampling depends on the dataset¶
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Evidence · 1 study · causalr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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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¶
Related Claims¶
- Mixing group-wise and pair-wise contrastive sampling yields better hypotheses than either alone — related
- Generated hypotheses discriminate hard from easy questions, mostly with medium-to-large effects — related
- Editing questions according to a hypothesis shifts measured difficulty in the expected direction — related
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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