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K2-V2 (Medium) benchmark scores reveal reasoning gap

By PulseAugur Editorial · [1 sources] ·

Independent evaluations of the K2-V2 (Medium) model have revealed its performance on various benchmarks. While it achieved scores of 59.8% on GPQA and 76.1% on MMLU-Pro, its performance on Humanity's Last Exam dropped to 4.4%. This indicates a significant discrepancy between the model's self-reported capabilities and its actual reasoning performance. AI

IMPACT Highlights potential overestimation of reasoning capabilities in LLMs, suggesting a need for more rigorous, independent evaluation.

RANK_REASON Independent benchmark results for an AI model. [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 →

K2-V2 (Medium) benchmark scores reveal reasoning gap

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Independent benchmark results for an AI model. [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 ·

    📊 K2-V2 (Medium) scores are out, measured independently, not from its own team. GPQA 59.8%, MMLU-Pro 76.1%, but Humanity's Last Exam drops to 4.4% — the gap bet

    📊 K2-V2 (Medium) scores are out, measured independently, not from its own team. GPQA 59.8%, MMLU-Pro 76.1%, but Humanity's Last Exam drops to 4.4% — the gap between self-reported and real-world reasoning is where the story is. See the full breakdown. https:// olud.ai/leaderboard.…

    LINKS olud.ai/leaderboard.html

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