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A round-robin judge assignment strategy, CyclicJudge, precisely eliminates judge bias in LLM evaluation without increasing evaluation costs, offering a practical solution to a pervasive problem.
Current long-term memory systems struggle to recall and reason over realistic, multimodal personal data, achieving under 20% accuracy on a new challenging benchmark.
