Benchmark Almanac

KMMLU-Redux

EXAONE 4.0 32B 72.7% Dropped

Models answer multiple-choice questions from Korean National Technical Qualification exams. The set is rebuilt from KMMLU with erroneous questions removed.

Released in the same paper as KMMLU-Pro. Scores are not comparable with the original KMMLU.

In the authors’ words

The development of Large Language Models (LLMs) requires robust benchmarks that encompass not only academic domains but also industrial fields to effectively evaluate their applicability in real-world scenarios. In this paper, we introduce two Korean expert-level benchmarks. KMMLU-Redux, reconstructed from the existing KMMLU, consists of questions from the Korean National Technical Qualification exams, with critical errors removed to enhance reliability. KMMLU-Pro is based on Korean National Professional Licensure exams to reflect professional knowledge in Korea. Our experiments demonstrate that these benchmarks comprehensively represent industrial knowledge in Korea. We release our dataset publicly available.

Abstract of From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation (arXiv:2507.08924, CC0)
Made by LG AI Research and collaborators Released Jul 2025 Exam questions All tasks public Last in a launch post Jul 2025 , dropped before it saturated Last model added Jul 2025
Level
University Undergraduates and entry-level professionals
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Multiple choice
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

EXAONE 4.0 32B leads with 72.7%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 EXAONE 4.0 32B 72.7%
#ModelScoreSettingDateSource
1 EXAONE 4.0 32B 72.7% Jul 2025 Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% Near the ceiling (85%) EXAONE 4.0 32B 0% 20% 40% 60% 80% 100% Near the ceiling (85%) EXAONE 4.0 32B

No launch post has listed it since Jul 2025

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

LG AI Research
DateLaunch postScoreAs the post writes it
15 Jul 2025 EXAONE 4.0 32B 72.7 KMMLU-Redux (reasoning)

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
15 Jul 2025 EXAONE 4.0 32B technical report 72.7 KMMLU-Redux (KO) (Table 3, Reasoning). Non-reasoning 64.8 (Table 4) Capabilities

More in Knowledge

All 109 in Knowledge
  • MMLU-Pro In use Harder 10-option version of MMLU with reasoning-focused questions across 14 subjects. Intern-S2-397B 89.8%
  • SuperGPQA In use 26,529 graduate-level multiple-choice questions across 285 disciplines. Accuracy. Qwen 3.6 Max (Preview) 73.9%
  • WideSearch In use 200 bilingual broad info-seeking tasks: agent collects many atomic facts into a table. Scored by success rate and row/item F1. Tencent Hy4 preview 83.9%
  • KMMLU-Pro In use Models answer multiple-choice questions taken from Korean National Professional Licensure exams. It tests professional knowledge used in Korean industry. Solar Pro 4 79.2%
  • BIG-Bench Extra Hard In use Models solve harder replacements for each of the 23 BIG-Bench Hard tasks, 4,520 examples in total. The score is a harmonic mean of task accuracies. Gemma 4 31B IT 74.4%
  • HLE-Verified In use Verified and revised version of Humanity's Last Exam (1,811 items) with uncertain items removed. Seed2.0 Pro 73.6%