arXiv (OAI Expanded)
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E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business Operation
Long-horizon agentic tasks go beyond chaining short tasks over more interaction turns. Their evolving dynamic environments and long-range dependencies require Large Language Models (LLMs) to continually explore, learn from experience, and adapt their policies over thousands of steps. We introduce E-
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