Claims

Smaller local LLMs show a minor position bias toward option ordering and partially guessing-like error variation, but accuracy remains relatively stable across permutations and repeated sampling runs

Claim · All claims
Evidence · 1 study · causal 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? Rotating MCQ option positions slightly affects Mistral-7B and DeepSeek-R1 scores, and repeated sampling runs show slight score variation, with accuracy and fully-correct answers remaining relatively stable. → Markos Stamatakis 2026

Evidence

Markos Stamatakis 2026

Markos Stamatakis, Omkar Gavali, Joshua Berger, Christian Wartena, Anett Hoppe, and Ralph Ewerth. (2026). Are LLM-based Chatbots Good Enough to Support Computer Science Students in Multiple-Choice Exercises? https://arxiv.org/abs/2606.15919 doi:10.48550/arxiv.2606.15919

q2 · i? · causal · r2

Stability evaluation (Table 3, Sec. 4): four cyclic option permutations per question and 10 repeated runs with default sampling for the two local models. The article reports a "minor position bias for both models" and error-similarity variation hinting at partial guessing; descriptive percentages only.

"varying the order of the options slightly affects the score, indicating a minor position bias for both models."

Discussion

Page metadata
Field Value
type claim
id minor-position-bias-and-partial-guessing-in-small-llms
title Smaller local LLMs show a minor position bias toward option ordering and partially guessing-like error variation, but accuracy remains relatively stable across permutations and repeated sampling runs
description Smaller local LLMs show a minor position bias toward option ordering and partially guessing-like error variation, but accuracy remains relatively stable across permutations and repeated sampling runs
status review
evidence_strength weak
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 — markos-stamatakis-2026

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