AI Research
LivingArena: Do LLMs Know What Other LLMs Don't? Peer-Probing as Scalable Evaluation
Evaluating frontier LLMs is challenging: static benchmarks suffer from contamination and saturation -- leaving users unable to distinguish top models and developers blind to specific failure modes -- while human preference is subjective. In this paper, our question is: \emph{Do L...
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ArXiv CS.AI
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ArXiv CS.AI
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This research introduces LivingArena, a novel evaluation framework where LLMs actively probe each other's knowledge gaps, offering a scalable and contamination-resistant alternative to static benchmarks. This 'peer-probing' method assesses factual rigor and strategic weakness exploitation, providing a more dynamic measure of LLM capabilities.
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