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Forget painstakingly curating datasets – STELLAR-E auto-generates high-quality, domain-specific LLM benchmarks, rivaling real-world data in evaluation quality.
LLM agents struggle to maintain performance in multi-day collaborative tasks, dropping significantly after just one environmental update, revealing a critical gap in adaptation to evolving real-world conditions.
