Claims

Model scale alone does not induce Socratic behavior: unaligned Qwen-72B achieves 0% scaffolding effectiveness and 96.7% keyword leakage

Claim · All claims
Evidence · 1 study · causal r1 · 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? Qwen-72B-Direct without task-specific alignment reaches SE=0.000 and leakage of 96.7% on the 30-question test set. → Xiaokun Wang 2026

Evidence

Xiaokun Wang 2026

Xiaokun Wang, Siyu Song, Wentao Liu, Xiaodong Zou. (2026). Beyond Direct Answering: Aligning Educational LLMs as Socratic Guides via Heuristic Reinforcement Learning. arXiv preprint. https://arxiv.org/abs/2607.22996 doi:10.48550/arxiv.2607.22996

q2 · i? · causal · r1

Scale-baseline condition in the same 30-question simulated evaluation (Table 3). The article reports "Qwen-72B without task-specific alignment achieves 0%SE and 96.7% leakage", matching the direct-answerer failure mode.

"Qwen-72B without task-specific alignment achieves 0%SE and 96.7% leakage, matching the direct-answering failure observed in the unaligned API baseline rather than the prompted PT-Base system."

Discussion

Page metadata
Field Value
type claim
id scale-alone-does-not-induce-socratic-behavior
title Model scale alone does not induce Socratic behavior: unaligned Qwen-72B achieves 0% scaffolding effectiveness and 96.7% keyword leakage
description Model scale alone does not induce Socratic behavior: unaligned Qwen-72B achieves 0% scaffolding effectiveness and 96.7% keyword leakage
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2029
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — xiaokun-wang-2026

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