Claims

Success rates decrease monotonically from easy to medium to hard difficulty levels across all models

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

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? All models exhibit a clear monotonic trend, with success rates highest on easy tasks and decreasing on medium and hard tasks. → Chao Wen 2026

Evidence

Chao Wen 2026

Chao Wen, Jacqueline Staub, and Adish Singla. (2026). TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics. https://arxiv.org/abs/2606.03626 doi:10.48550/arxiv.2606.03626

q2 · i? · design · r2

Fine-grained analysis of symbolic success rates across the three labeled difficulty levels (Figure 5b) for representative VLMs. The article reports "a clear monotonic trend, with success rates highest on easy tasks and decreasing on medium and hard tasks", supporting the validity of the difficulty labeling. No effect size is printed.

"Across difficulty levels (see Figure 5b), all models exhibit a clear monotonic trend, with success rates highest on easy tasks and decreasing on medium and hard tasks, suggesting that the difficulty levels in our datasets capture meaningful differences in task complexity."

Discussion

Page metadata
Field Value
type claim
id monotonic-difficulty-decline-turtleai
title Success rates decrease monotonically from easy to medium to hard difficulty levels across all models
description Success rates decrease monotonically from easy to medium to hard difficulty levels across all models
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2029
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — chao-wen-2026

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