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Jeff Dean shares a behind-the-scenes note with the KDD 2026 audience, indicating he has closed his laptop for the final time after a significant week, likely marking his departure from Google.
Gabriel Chua notes that XGBoost won the KDD 2026 Test of Time Award, recognizing its lasting impact on machine learning.
Introduces LingxiDiagBench, a large-scale multi-agent benchmark for evaluating LLMs on Chinese psychiatric consultation and diagnosis. Key findings show high accuracy on binary classification but poor performance on multi-way differential diagnosis, highlighting a decoupling between conversational quality and diagnostic accuracy.
Results for the KDD 2026 Cycle 2 research track have been released.