Benchmark Almanac

KMMLU-Redux

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.

Released
July 2025
Kind
Exam questions
Level
University
Scored
Checked automatically
Answers
Multiple choice
Tasks
All public
Last in a launch post
July 2025, dropped before it saturated
Last model added
July 2025

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)
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%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 EXAONE 4.0 32B 72.7% Jul 2025 Lab 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

Source: Labs’ model cards

No launch post has listed it since July 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
Jul 15, 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
Jul 15, 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 121 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%
  • BBEH micro average In use Models solve harder replacements for each of the 23 BIG-Bench Hard tasks, 4,520 examples in total. The score is the share of all examples answered correctly. Gemma 4 31B IT 74.4%
  • 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%
  • 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%