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AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks
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self-improvementlong-horizon executionreflectionLLM agents
2609.38288
Builder Relevance
1h ago80%
Abstract
AREX-2 advances the self-improving capability of LLM agents through reflection and long-horizon execution.
Reality Card
Core Claim
The agent built on Qwen3.8-27B demonstrates strong performance across multiple benchmarks, indicating that long-horizon reflective data effectively enhances self-improvement capabilities.
Method / Result
Achieved 81.8 on MLE-bench Lite and 93.8 on DeepSearchQA.
Limitations
The paper does not specify the authors, which may hinder reproducibility and validation of results.
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