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Summary of 2025 #KDD Paper:
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Summary of 2025 #KDD Paper:
🔥 Quick-Draw Bandits: Solve nonstationary MAB in extreme-arm environments! 🚀 100-10k× faster, O*(√T) regret, 3.51% real ad CTR—outperforms GP-UCB & greedy.
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🤖 Robot Testing Game-Changer! Google DeepMind’s Veo Simulator uses AI video models to evaluate robot policies across nominal/OOD & safety red-teaming. No physical setup. Validated with 1600+ real trials! 🚀
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Summary of 2025 #KDD Paper:
🌪️ PhyDL-NWP: Physics-powered AI for weather forecasting/downscaling! 170× faster inference, 55K params, and sharper physical consistency than baselines. A total game-changer for meteorology!
Details👉https://t.co/58V9bko6Bo
CMU’s LLM research breakdown: 🧠 RL works at a model’s "edge of competence," mid-training boosts generalization, 1% pre-training exposure unlocks cross-context transfer, & process rewards cut hacking!
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Summary of 2025 #KDD Paper:
🔥 MOTTO: A MoE framework for multi-treatment, multi-outcome causal inference! 🚀 Crushes confounding, handles complex interactions - boosts ad performance & user engagement in large-scale real-world use.
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Summary of 2025 #KDD Paper:
🚀 Interpretable time series classification! TemporalRule learns STL rules with neuro-symbolic AI - beats SOTA in med/finance/security. No black boxes, just intuitive logic!
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