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Fleet and LLM agents achieve 3x speedup in text generation and higher macro-F1 scores on the Action Judge benchmark

2 statements on Sep 23, 2026 10:26 UTC
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  1. Bullish

    LLM agents trained with the Agent-Editing World Model (AEWM) will achieve higher macro-F1 scores on the Action Judge benchmark compared to existing language world models.

    arxiv.org
  2. Bullish

    FLEET achieves a 3x speedup in text generation compared to repeated sampling baselines.

    arxiv.org