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    AREX-2 is claimed to improve solutions with more test-time rounds

    HuggingPapers describes the 27B agent as trained on verifiable machine-learning and algorithmic tasks.

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    2 Sources, 8h ago, first seen 8h ago

    TLDR

    HuggingPapers says AREX-2 improves its solutions with more test-time rounds. It reports scores of 81.8 on MLE-bench Lite and 70.7 on Frontier-CS, and says the agent transfers to deep research.

    Combined views

    3.7K

    2 Sources, first seen 8h ago

    21 likes

    Combined views

    3.7K

    2 Sources, first seen 8h ago

    21 likes
    5 comments
    10 saves
    7 reposts

    Sentiment

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    5 comments
    10 saves
    7 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @HuggingPapersAREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks A 27B agent that turns more test-time rounds into better solutions, trained on verifiable ML and algorithmic tasks. Achieves 81.8 on MLE-bench Lite, 70.7 on Frontier-CS, and transfers to deep research.
    @_akhaliqRT @HuggingPapers: AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks A 27B agent that turns more test-time rou…

    2 Sources

    @HuggingPapersAREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks A 27B agent that turns more test-time rounds into better solutions, trained on verifiable ML and algorithmic tasks. Achieves 81.8 on MLE-bench Lite, 70.7 on Frontier-CS, and transfers to deep research.
    @_akhaliqRT @HuggingPapers: AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks A 27B agent that turns more test-time rou…