explainx.ai0k
TrendingNewsPathwaysSkills
Pricing
explainx.ai

Upskill in AI — 16 free pathways, live workshops & bootcamps, and 50+ courses from practitioners. Plus the skills, tools, and MCP servers to practice on.

follow us

follow on google

Add explainx.ai as a preferred source

corporate training

support@explainx.ai

get started

Find your pathTake Free Evaluation

community

Join the community

learn

mind: share how you thinkpathways — start freeworkshopsbootcampscoursescompare Explainxcertificationsmock testsexplainx universitycorporate traininglearn skills & mcp

discover

skillsmcp serversexplainx mcptoolsmdx readeragentsllmsdesignsdictionarypeopleagi trackerfelony benchranks

company

aboutvisionmissionteaminstructorsteach on explainxpartnershipscommunityhackathonscareers

content

daily AI newsstate of AI — live resultsblogreleasespromptsgeneratorsresource libraryfor LLMsexplainx.ai kids

solutions

all solutionsdeveloper upskillingmarketing upskillingproduct manager upskillingleadership upskilling

newsletter · weekly

Get AI news, tools, and insights in your inbox.

supportcontactprivacytermsdata rightshow we create contentsubmission guidelines

© 2026 AISOLO Technologies Pvt Ltd

explainx.ai

  1. Home
  2. /
  3. Dictionary
  4. /
  5. MMLU-Pro
Evaluation & Benchmarks

MMLU-Pro

MMLU-Pro is a harder, ten-choice revision of MMLU designed to resist the guessing and contamination that saturated the original.

Ask Melo about this← all terms

Released in June 2024, MMLU-Pro expands each question from four answer choices to ten and removes trivial or ambiguous items from the original MMLU, cutting the benefit of random guessing and reducing the ceiling effect that made MMLU scores cluster near the top. It is now more commonly cited on frontier model cards than the original MMLU.

Related terms

MMLUContamination AuditAI BenchmarkBIG-Bench HardEfficiency FrontierSWE-Together

Where MMLU-Pro comes up

  • Ethan Mollick: Prompting Tricks Are Over — Wharton Prompting Science Backs Real Specs
  • Does Coaxing an AI Agent Actually Work? What the Research Says