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			<guid><![CDATA[https://provide.ai/inferring-high-level-events-from-timestamped-data-complexity-and-medical-applications/]]></guid>
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			<guid><![CDATA[https://provide.ai/materialistic-rir-material-conditioned-realistic-rir-generation/]]></guid>
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			<guid><![CDATA[https://provide.ai/statistics-not-scale-modular-medical-dialogue-with-bayesian-belief-engine/]]></guid>
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			<title>Statistics, Not Scale: Modular Medical Dialogue with Bayesian Belief Engine</title>
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			<guid><![CDATA[https://provide.ai/ftextsuperscript2lp-ap-fast-flexible-label-propagation-with-adaptive-propagation-kernel/]]></guid>
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			<guid><![CDATA[https://provide.ai/unsharp-measurement-with-adaptive-gaussian-povms-for-quantum-inspired-image-processing-2/]]></guid>
			<link><![CDATA[https://provide.ai/unsharp-measurement-with-adaptive-gaussian-povms-for-quantum-inspired-image-processing-2/]]></link>
			<title>Unsharp Measurement with Adaptive Gaussian POVMs for Quantum-Inspired Image Processing</title>
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			<guid><![CDATA[https://provide.ai/a-lightweight-transformer-for-pain-recognition-from-brain-activity-2/]]></guid>
			<link><![CDATA[https://provide.ai/a-lightweight-transformer-for-pain-recognition-from-brain-activity-2/]]></link>
			<title>A Lightweight Transformer for Pain Recognition from Brain Activity</title>
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			<guid><![CDATA[https://provide.ai/learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems/]]></guid>
			<link><![CDATA[https://provide.ai/learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems/]]></link>
			<title>Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems</title>
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			<guid><![CDATA[https://provide.ai/language-models-learn-universal-representations-of-numbers-and-heres-why-you-should-care/]]></guid>
			<link><![CDATA[https://provide.ai/language-models-learn-universal-representations-of-numbers-and-heres-why-you-should-care/]]></link>
			<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>
			<link><![CDATA[https://provide.ai/flashnorm-fast-normalization-for-transformers/]]></link>
			<title>FlashNorm: Fast Normalization for Transformers</title>
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			<guid><![CDATA[https://provide.ai/hyperfm-an-efficient-hyperspectral-foundation-model-with-spectral-grouping/]]></guid>
			<link><![CDATA[https://provide.ai/hyperfm-an-efficient-hyperspectral-foundation-model-with-spectral-grouping/]]></link>
			<title>HyperFM: An Efficient Hyperspectral Foundation Model with Spectral Grouping</title>
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			<guid><![CDATA[https://provide.ai/tema-anchor-the-image-follow-the-text-for-multi-modification-composed-image-retrieval/]]></guid>
			<link><![CDATA[https://provide.ai/tema-anchor-the-image-follow-the-text-for-multi-modification-composed-image-retrieval/]]></link>
			<title>TEMA: Anchor the Image, Follow the Text for Multi-Modification Composed Image Retrieval</title>
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			<guid><![CDATA[https://provide.ai/reprobe-efficient-test-time-scaling-of-multi-step-reasoning-by-probing-internal-states-of-large-language-models/]]></guid>
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			<title>ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models</title>
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			<guid><![CDATA[https://provide.ai/replicable-bandits-with-ucb-based-exploration/]]></guid>
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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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			<title>Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems</title>
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			<guid><![CDATA[https://provide.ai/a-deep-u-net-framework-for-flood-hazard-mapping-using-hydraulic-simulations-of-the-wupper-catchment/]]></guid>
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			<pubDate><![CDATA[Fri, 24 Apr 2026 04:00:00 +0000]]></pubDate>
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