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Exaone 4.0 benchmarks show mixed results, scoring low on reasoning

By PulseAugur Editorial · [1 sources] ·

Exaone 4.0, a 1.2 billion parameter model, has demonstrated specific performance metrics on various benchmarks. Independently measured results show it achieved 42.4% on GPQA, 50% on MMLU-Pro, and 5.7% on Humanity's Last Exam. The model scored 0% on Long Context Reasoning tasks. AI

IMPACT Provides specific performance data for the Exaone 4.0 model across key benchmarks, highlighting its limitations in reasoning.

RANK_REASON The item reports on benchmark results for a specific model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Exaone 4.0 benchmarks show mixed results, scoring low on reasoning

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The item reports on benchmark results for a specific model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    📊 Exaone 4.0 1.2B (Non-reasoning) — the actual numbers GPQA: 42.4% MMLU-Pro: 50% Humanity's Last Exam: 5.7% Long Context Reasoning: 0% Measured independently, n

    📊 Exaone 4.0 1.2B (Non-reasoning) — the actual numbers GPQA: 42.4% MMLU-Pro: 50% Humanity's Last Exam: 5.7% Long Context Reasoning: 0% Measured independently, not self-reported → https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    LINKS olud.ai/leaderboard.html

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