AI Research
AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks
Unlocking iterative self-improvement for autonomous agents through advanced long-horizon reflection.
We present AREX-2, an effort to advance the self-improving capability of LLM agents, which we define as the ability to iteratively refine a solution at test time. This ability rests on two complementary capabilities: reflection, which produces a solution better than the current o...
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ArXiv CS.AI
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ArXiv CS.AI
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AREX-2 marks a significant shift toward autonomous agents that can iteratively refine their own outputs without human intervention. By mastering long-horizon reflective tasks, these systems move closer to solving complex, multi-step problems that currently plague standard LLMs.
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