MMLU-Pro Under Admissible Interface Perturbations: A Three-Family Stress Test with Prediction-Space Canonicalization

This technical note presents a controlled three-family stress test on MMLU-Pro under admissible answer-interface perturbations (baseline, choice_shuffle, label_remap). Three model families are evaluated on a locked subset of 140 items spanning 14 categories. A methodological caveat affecting prediction comparability is explicitly identified and corrected through full prediction-space canonicalization with exact decoder recovery. The family-level perturbation signatures remain unchanged after canonicalization, while part of the raw prediction-level instability is reduced but not eliminated. The result is diagnostic and local in scope: under the tested setup, MMLU-Pro remains locally usable but exhibits interface-sensitive evaluative closure and limited global neutrality under the tested perturbations.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19353380
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MMLU-Pro Under Admissible Interface Perturbations: A Three-Family Stress Test with Prediction-Space Canonicalization

Danilo Tavella
Zenodo (CERN European Organization for Nuclear Research)
Emotion and Mood Recognition
article

MMLU-Pro Under Admissible Interface Perturbations: A Three-Family Stress Test with Prediction-Space Canonicalization

Danilo Tavella
article en

Abstract

This technical note presents a controlled three-family stress test on MMLU-Pro under admissible answer-interface perturbations (baseline, choice_shuffle, label_remap). Three model families are evaluated on a locked subset of 140 items spanning 14 categories. A methodological caveat affecting prediction comparability is explicitly identified and corrected through full prediction-space canonicalization with exact decoder recovery. The family-level perturbation signatures remain unchanged after canonicalization, while part of the raw prediction-level instability is reduced but not eliminated. The result is diagnostic and local in scope: under the tested setup, MMLU-Pro remains locally usable but exhibits interface-sensitive evaluative closure and limited global neutrality under the tested perturbations.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 26%
Emotion and Mood Recognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.