AREX-2: Advancing Self-Improving LLM Agents via Long-Horizon Reflection
Beyond One-Shot Success: How AREX-2 Teaches LLM Agents to Reflect and Persevere Current autonomous LLM agents are often evaluated by their ability to solve a task in a single pass or through a short sequence of scripted interactions. While models like GPT-4o and Claude 3.5 have shown impressive capabilities in these one-shot scenarios, they frequently struggle when faced with long-horizon…
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