Splitting biosignature survey targets into two groups with different life prevalences but a shared global confounder rate allows modest-sized surveys to produce strong evidence for life under fully agnostic priors.
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Character distribution patterns differ between humans and AI in domain-specific ways, enabling improved AI text detection via the new LD-Score when combined with existing tools on the MDTA benchmark.
citing papers explorer
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The Catastrophic Consequences of Agnosticism for Life Searches and a Possible Workaround
Splitting biosignature survey targets into two groups with different life prevalences but a shared global confounder rate allows modest-sized surveys to produce strong evidence for life under fully agnostic priors.
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Beyond Perplexity: Character Distribution Signatures and the MDTA Benchmark for AI Text Detection
Character distribution patterns differ between humans and AI in domain-specific ways, enabling improved AI text detection via the new LD-Score when combined with existing tools on the MDTA benchmark.