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			<title>Language Models Learn Universal Representations of Numbers and Here&#8217;s Why You Should Care</title>
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			<guid><![CDATA[https://provide.ai/flashnorm-fast-normalization-for-transformers/]]></guid>
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			<title>FlashNorm: Fast Normalization for Transformers</title>
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			<title>Replicable Bandits with UCB based Exploration</title>
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			<guid><![CDATA[https://provide.ai/lifecycle-aware-federated-continual-learning-in-mobile-autonomous-systems/]]></guid>
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			<guid><![CDATA[https://provide.ai/efficient-transceiver-design-for-aerial-image-transmission-and-large-scale-scene-reconstruction-2/]]></guid>
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			<guid><![CDATA[https://provide.ai/llm-guided-safety-agent-for-edge-robotics-with-an-iso-compliant-perception-compute-control-architecture/]]></guid>
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			<guid><![CDATA[https://provide.ai/maximum-entropy-semi-supervised-inverse-reinforcement-learning/]]></guid>
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			<title>Maximum Entropy Semi-Supervised Inverse Reinforcement Learning</title>
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			<guid><![CDATA[https://provide.ai/efficient-multi-cohort-inference-for-long-term-effects-and-lifetime-value-in-a-b-testing-with-user-learning/]]></guid>
			<link><![CDATA[https://provide.ai/efficient-multi-cohort-inference-for-long-term-effects-and-lifetime-value-in-a-b-testing-with-user-learning/]]></link>
			<title>Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning</title>
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			<guid><![CDATA[https://provide.ai/efficient-reinforcement-learning-using-linear-koopman-dynamics-for-nonlinear-robotic-systems/]]></guid>
			<link><![CDATA[https://provide.ai/efficient-reinforcement-learning-using-linear-koopman-dynamics-for-nonlinear-robotic-systems/]]></link>
			<title>Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems</title>
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			<guid><![CDATA[https://provide.ai/auto-art-structured-literature-synthesis-and-automated-adversarial-robustness-testing/]]></guid>
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			<title>Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing</title>
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			<guid><![CDATA[https://provide.ai/best-policy-learning-from-trajectory-preference-feedback/]]></guid>
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			<title>Best Policy Learning from Trajectory Preference Feedback</title>
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			<guid><![CDATA[https://provide.ai/heterogeneous-layered-structures-can-modulate-human-softness-perception/]]></guid>
			<link><![CDATA[https://provide.ai/heterogeneous-layered-structures-can-modulate-human-softness-perception/]]></link>
			<title>Heterogeneous Layered Structures Can Modulate Human Softness Perception</title>
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			<guid><![CDATA[https://provide.ai/analysis-of-nystrom-method-with-sequential-ridge-leverage-scores/]]></guid>
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			<title>Analysis of Nystrom method with sequential ridge leverage scores</title>
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			<guid><![CDATA[https://provide.ai/physics-conditioned-synthesis-of-internal-ice-layer-thickness-for-incomplete-layer-traces/]]></guid>
			<link><![CDATA[https://provide.ai/physics-conditioned-synthesis-of-internal-ice-layer-thickness-for-incomplete-layer-traces/]]></link>
			<title>Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces</title>
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			<guid><![CDATA[https://provide.ai/toward-cooperative-driving-in-mixed-traffic-an-adaptive-potential-game-based-approach-with-field-test-verification/]]></guid>
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			<title>Toward Cooperative Driving in Mixed Traffic: An Adaptive Potential Game-Based Approach with Field Test Verification</title>
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			<guid><![CDATA[https://provide.ai/convergent-evolution-how-different-language-models-learn-similar-number-representations/]]></guid>
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			<title>Convergent Evolution: How Different Language Models Learn Similar Number Representations</title>
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			<guid><![CDATA[https://provide.ai/not-all-rollouts-are-useful-down-sampling-rollouts-in-llm-reinforcement-learning-2/]]></guid>
			<link><![CDATA[https://provide.ai/not-all-rollouts-are-useful-down-sampling-rollouts-in-llm-reinforcement-learning-2/]]></link>
			<title>Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning</title>
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			<guid><![CDATA[https://provide.ai/cortex-2-0-grounding-world-models-in-real-world-industrial-deployment/]]></guid>
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			<title>Cortex 2.0: Grounding World Models in Real-World Industrial Deployment</title>
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			<pubDate><![CDATA[Thu, 23 Apr 2026 04:00:00 +0000]]></pubDate>
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