<?xml version="1.0" encoding="UTF-8"?>
<!-- This sitemap was dynamically generated on April 16, 2026 at 4:51 am by All in One SEO v4.9.5.1 - the original SEO plugin for WordPress. -->

<?xml-stylesheet type="text/xsl" href="https://provide.ai/default-sitemap.xsl"?>

<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
	<channel>
		<title>Provide.ai</title>
		<link><![CDATA[https://provide.ai]]></link>
		<description><![CDATA[Provide.ai]]></description>
		<lastBuildDate><![CDATA[Thu, 16 Apr 2026 04:28:30 +0000]]></lastBuildDate>
		<docs>https://validator.w3.org/feed/docs/rss2.html</docs>
		<atom:link href="https://provide.ai/sitemap.rss" rel="self" type="application/rss+xml" />
		<ttl><![CDATA[60]]></ttl>

		<item>
			<guid><![CDATA[https://provide.ai/ai-as-an-attorney-student-uses-chatgpt-gemini-to-sue-uw/]]></guid>
			<link><![CDATA[https://provide.ai/ai-as-an-attorney-student-uses-chatgpt-gemini-to-sue-uw/]]></link>
			<title>AI as an attorney? Student uses ChatGPT, Gemini to sue UW</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:28:30 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/lyra-2-0-nvidia/]]></guid>
			<link><![CDATA[https://provide.ai/lyra-2-0-nvidia/]]></link>
			<title>Lyra 2.0 Nvidia</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:03:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/learning-the-value-of-value-learning/]]></guid>
			<link><![CDATA[https://provide.ai/learning-the-value-of-value-learning/]]></link>
			<title>Learning the Value of Value Learning</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/neural-dynamic-gi-random-access-neural-compression-for-temporal-lightmaps-in-dynamic-lighting-environments/]]></guid>
			<link><![CDATA[https://provide.ai/neural-dynamic-gi-random-access-neural-compression-for-temporal-lightmaps-in-dynamic-lighting-environments/]]></link>
			<title>Neural Dynamic GI: Random-Access Neural Compression for Temporal Lightmaps in Dynamic Lighting Environments</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/toolspec-accelerating-tool-calling-via-schema-aware-and-retrieval-augmented-speculative-decoding/]]></guid>
			<link><![CDATA[https://provide.ai/toolspec-accelerating-tool-calling-via-schema-aware-and-retrieval-augmented-speculative-decoding/]]></link>
			<title>ToolSpec: Accelerating Tool Calling via Schema-Aware and Retrieval-Augmented Speculative Decoding</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/flowplan-g2p-a-structured-generation-framework-for-transforming-scientific-papers-into-patent-descriptions/]]></guid>
			<link><![CDATA[https://provide.ai/flowplan-g2p-a-structured-generation-framework-for-transforming-scientific-papers-into-patent-descriptions/]]></link>
			<title>FlowPlan-G2P: A Structured Generation Framework for Transforming Scientific Papers into Patent Descriptions</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/from-order-to-distribution-a-spectral-characterization-of-forgetting-in-continual-learning/]]></guid>
			<link><![CDATA[https://provide.ai/from-order-to-distribution-a-spectral-characterization-of-forgetting-in-continual-learning/]]></link>
			<title>From Order to Distribution: A Spectral Characterization of Forgetting in Continual Learning</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/kmmmu-evaluation-of-massive-multi-discipline-multimodal-understanding-in-korean-language-and-context/]]></guid>
			<link><![CDATA[https://provide.ai/kmmmu-evaluation-of-massive-multi-discipline-multimodal-understanding-in-korean-language-and-context/]]></link>
			<title>KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/misid-a-multimodal-multi-turn-dataset-for-complex-intent-recognition-in-strategic-deception-games/]]></guid>
			<link><![CDATA[https://provide.ai/misid-a-multimodal-multi-turn-dataset-for-complex-intent-recognition-in-strategic-deception-games/]]></link>
			<title>MISID: A Multimodal Multi-turn Dataset for Complex Intent Recognition in Strategic Deception Games</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/working-notes-on-late-interaction-dynamics-analyzing-targeted-behaviors-of-late-interaction-models-2/]]></guid>
			<link><![CDATA[https://provide.ai/working-notes-on-late-interaction-dynamics-analyzing-targeted-behaviors-of-late-interaction-models-2/]]></link>
			<title>Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/a-dynamic-growing-fuzzy-neuro-controller-application-to-a-3psp-parallel-robot/]]></guid>
			<link><![CDATA[https://provide.ai/a-dynamic-growing-fuzzy-neuro-controller-application-to-a-3psp-parallel-robot/]]></link>
			<title>A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/flexguard-continuous-risk-scoring-for-strictness-adaptive-llm-content-moderation/]]></guid>
			<link><![CDATA[https://provide.ai/flexguard-continuous-risk-scoring-for-strictness-adaptive-llm-content-moderation/]]></link>
			<title>FlexGuard: Continuous Risk Scoring for Strictness-Adaptive LLM Content Moderation</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/resbm-residual-bottleneck-models-for-low-bandwidth-pipeline-parallelism/]]></guid>
			<link><![CDATA[https://provide.ai/resbm-residual-bottleneck-models-for-low-bandwidth-pipeline-parallelism/]]></link>
			<title>ResBM: Residual Bottleneck Models for Low-Bandwidth Pipeline Parallelism</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/latentrefusal-latent-signal-refusal-for-unanswerable-text-to-sql-queries/]]></guid>
			<link><![CDATA[https://provide.ai/latentrefusal-latent-signal-refusal-for-unanswerable-text-to-sql-queries/]]></link>
			<title>LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/resilient-write-a-six-layer-durable-write-surface-for-llm-coding-agents-2/]]></guid>
			<link><![CDATA[https://provide.ai/resilient-write-a-six-layer-durable-write-surface-for-llm-coding-agents-2/]]></link>
			<title>Resilient Write: A Six-Layer Durable Write Surface for LLM Coding Agents</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/synthesizing-instruction-tuning-datasets-with-contrastive-decoding/]]></guid>
			<link><![CDATA[https://provide.ai/synthesizing-instruction-tuning-datasets-with-contrastive-decoding/]]></link>
			<title>Synthesizing Instruction-Tuning Datasets with Contrastive Decoding</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/camreasoner-reinforcing-camera-movement-understanding-via-structured-spatial-reasoning/]]></guid>
			<link><![CDATA[https://provide.ai/camreasoner-reinforcing-camera-movement-understanding-via-structured-spatial-reasoning/]]></link>
			<title>CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/pictorial-and-apictorial-polygonal-jigsaw-puzzles-from-arbitrary-number-of-crossing-cuts/]]></guid>
			<link><![CDATA[https://provide.ai/pictorial-and-apictorial-polygonal-jigsaw-puzzles-from-arbitrary-number-of-crossing-cuts/]]></link>
			<title>Pictorial and apictorial polygonal jigsaw puzzles from arbitrary number of crossing cuts</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/adaptive-unknown-fault-detection-and-few-shot-continual-learning-for-condition-monitoring-in-ultrasonic-metal-welding/]]></guid>
			<link><![CDATA[https://provide.ai/adaptive-unknown-fault-detection-and-few-shot-continual-learning-for-condition-monitoring-in-ultrasonic-metal-welding/]]></link>
			<title>Adaptive Unknown Fault Detection and Few-Shot Continual Learning for Condition Monitoring in Ultrasonic Metal Welding</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/dental-triagebench-benchmarking-multimodal-reasoning-for-hierarchical-dental-triage/]]></guid>
			<link><![CDATA[https://provide.ai/dental-triagebench-benchmarking-multimodal-reasoning-for-hierarchical-dental-triage/]]></link>
			<title>Dental-TriageBench: Benchmarking Multimodal Reasoning for Hierarchical Dental Triage</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/mr-scalemaster-scale-consistent-collaborative-mapping-from-crowd-sourced-monocular-videos-3/]]></guid>
			<link><![CDATA[https://provide.ai/mr-scalemaster-scale-consistent-collaborative-mapping-from-crowd-sourced-monocular-videos-3/]]></link>
			<title>MR.ScaleMaster: Scale-Consistent Collaborative Mapping from Crowd-Sourced Monocular Videos</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/llm-guided-semantic-bootstrapping-for-interpretable-text-classification-with-tsetlin-machines/]]></guid>
			<link><![CDATA[https://provide.ai/llm-guided-semantic-bootstrapping-for-interpretable-text-classification-with-tsetlin-machines/]]></link>
			<title>LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/transferable-expertise-for-autonomous-agents-via-real-world-case-based-learning/]]></guid>
			<link><![CDATA[https://provide.ai/transferable-expertise-for-autonomous-agents-via-real-world-case-based-learning/]]></link>
			<title>Transferable Expertise for Autonomous Agents via Real-World Case-Based Learning</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/fintrace-holistic-trajectory-level-evaluation-of-llm-tool-calling-for-long-horizon-financial-tasks-2/]]></guid>
			<link><![CDATA[https://provide.ai/fintrace-holistic-trajectory-level-evaluation-of-llm-tool-calling-for-long-horizon-financial-tasks-2/]]></link>
			<title>FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/gradient-descents-last-iterate-is-often-slightly-suboptimal/]]></guid>
			<link><![CDATA[https://provide.ai/gradient-descents-last-iterate-is-often-slightly-suboptimal/]]></link>
			<title>Gradient Descent&#8217;s Last Iterate is Often (slightly) Suboptimal</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/graph-in-context-operator-networks-for-generalizable-spatiotemporal-prediction/]]></guid>
			<link><![CDATA[https://provide.ai/graph-in-context-operator-networks-for-generalizable-spatiotemporal-prediction/]]></link>
			<title>Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/optimized-human-robot-co-dispatch-planning-for-petro-site-surveillance-under-varying-criticalities/]]></guid>
			<link><![CDATA[https://provide.ai/optimized-human-robot-co-dispatch-planning-for-petro-site-surveillance-under-varying-criticalities/]]></link>
			<title>Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/evonash-marl-a-closed-loop-multi-agent-reinforcement-learning-framework-for-medium-horizon-equity-allocation-2/]]></guid>
			<link><![CDATA[https://provide.ai/evonash-marl-a-closed-loop-multi-agent-reinforcement-learning-framework-for-medium-horizon-equity-allocation-2/]]></link>
			<title>EvoNash-MARL: A Closed-Loop Multi-Agent Reinforcement Learning Framework for Medium-Horizon Equity Allocation</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/debate-to-align-reliable-entity-alignment-through-two-stage-multi-agent-debate/]]></guid>
			<link><![CDATA[https://provide.ai/debate-to-align-reliable-entity-alignment-through-two-stage-multi-agent-debate/]]></link>
			<title>Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent Debate</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/can-ai-tools-transform-low-demand-math-tasks-an-evaluation-of-task-modification-capabilities/]]></guid>
			<link><![CDATA[https://provide.ai/can-ai-tools-transform-low-demand-math-tasks-an-evaluation-of-task-modification-capabilities/]]></link>
			<title>Can AI Tools Transform Low-Demand Math Tasks? An Evaluation of Task Modification Capabilities</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/universality-of-gaussian-mixture-reverse-kernels-in-conditional-diffusion/]]></guid>
			<link><![CDATA[https://provide.ai/universality-of-gaussian-mixture-reverse-kernels-in-conditional-diffusion/]]></link>
			<title>Universality of Gaussian-Mixture Reverse Kernels in Conditional Diffusion</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/lossless-prompt-compression-via-dictionary-encoding-and-in-context-learning-enabling-cost-effective-llm-analysis-of-repetitive-data/]]></guid>
			<link><![CDATA[https://provide.ai/lossless-prompt-compression-via-dictionary-encoding-and-in-context-learning-enabling-cost-effective-llm-analysis-of-repetitive-data/]]></link>
			<title>Lossless Prompt Compression via Dictionary-Encoding and In-Context Learning: Enabling Cost-Effective LLM Analysis of Repetitive Data</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/supergrasp-single-view-object-grasping-via-superquadric-similarity-matching-evaluation-and-refinement-2/]]></guid>
			<link><![CDATA[https://provide.ai/supergrasp-single-view-object-grasping-via-superquadric-similarity-matching-evaluation-and-refinement-2/]]></link>
			<title>SuperGrasp: Single-View Object Grasping via Superquadric Similarity Matching, Evaluation, and Refinement</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/one-token-away-from-collapse-the-fragility-of-instruction-tuned-helpfulness/]]></guid>
			<link><![CDATA[https://provide.ai/one-token-away-from-collapse-the-fragility-of-instruction-tuned-helpfulness/]]></link>
			<title>One Token Away from Collapse: The Fragility of Instruction-Tuned Helpfulness</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/webxskill-skill-learning-for-autonomous-web-agents/]]></guid>
			<link><![CDATA[https://provide.ai/webxskill-skill-learning-for-autonomous-web-agents/]]></link>
			<title>WebXSkill: Skill Learning for Autonomous Web Agents</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/how-can-we-synthesize-high-quality-pretraining-data-a-systematic-study-of-prompt-design-generator-model-and-source-data/]]></guid>
			<link><![CDATA[https://provide.ai/how-can-we-synthesize-high-quality-pretraining-data-a-systematic-study-of-prompt-design-generator-model-and-source-data/]]></link>
			<title>How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/restless-bandits-with-individual-penalty-constraints-a-new-near-optimal-index-policy-and-how-to-learn-it-2/]]></guid>
			<link><![CDATA[https://provide.ai/restless-bandits-with-individual-penalty-constraints-a-new-near-optimal-index-policy-and-how-to-learn-it-2/]]></link>
			<title>Restless Bandits with Individual Penalty Constraints: A New Near-Optimal Index Policy and How to Learn It</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/igen-scalable-data-generation-for-robot-learning-from-open-world-images/]]></guid>
			<link><![CDATA[https://provide.ai/igen-scalable-data-generation-for-robot-learning-from-open-world-images/]]></link>
			<title>IGen: Scalable Data Generation for Robot Learning from Open-World Images</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/training-free-test-time-contrastive-learning-for-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/training-free-test-time-contrastive-learning-for-large-language-models/]]></link>
			<title>Training-Free Test-Time Contrastive Learning for Large Language Models</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/omnihands-towards-robust-4d-hand-mesh-recovery-via-a-versatile-transformer/]]></guid>
			<link><![CDATA[https://provide.ai/omnihands-towards-robust-4d-hand-mesh-recovery-via-a-versatile-transformer/]]></link>
			<title>OmniHands: Towards Robust 4D Hand Mesh Recovery via A Versatile Transformer</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/lightweight-low-light-image-enhancement-via-distribution-normalizing-preprocessing-and-depthwise-u-net-2/]]></guid>
			<link><![CDATA[https://provide.ai/lightweight-low-light-image-enhancement-via-distribution-normalizing-preprocessing-and-depthwise-u-net-2/]]></link>
			<title>Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/computational-framework-for-multistep-metabolic-pathway-design/]]></guid>
			<link><![CDATA[https://provide.ai/computational-framework-for-multistep-metabolic-pathway-design/]]></link>
			<title>Computational framework for multistep metabolic pathway design</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/before-the-first-token-scale-dependent-emergence-of-hallucination-signals-in-autoregressive-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/before-the-first-token-scale-dependent-emergence-of-hallucination-signals-in-autoregressive-language-models/]]></link>
			<title>Before the First Token: Scale-Dependent Emergence of Hallucination Signals in Autoregressive Language Models</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/dead-cognitions-a-census-of-misattributed-insights-2/]]></guid>
			<link><![CDATA[https://provide.ai/dead-cognitions-a-census-of-misattributed-insights-2/]]></link>
			<title>Dead Cognitions: A Census of Misattributed Insights</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/from-relevance-to-authority-authority-aware-generative-retrieval-in-web-search-engines/]]></guid>
			<link><![CDATA[https://provide.ai/from-relevance-to-authority-authority-aware-generative-retrieval-in-web-search-engines/]]></link>
			<title>From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/specbound-adaptive-bounded-self-speculation-with-layer-wise-confidence-calibration/]]></guid>
			<link><![CDATA[https://provide.ai/specbound-adaptive-bounded-self-speculation-with-layer-wise-confidence-calibration/]]></link>
			<title>SpecBound: Adaptive Bounded Self-Speculation with Layer-wise Confidence Calibration</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/hierarchical-reinforcement-learning-with-runtime-safety-shielding-for-power-grid-operation/]]></guid>
			<link><![CDATA[https://provide.ai/hierarchical-reinforcement-learning-with-runtime-safety-shielding-for-power-grid-operation/]]></link>
			<title>Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/wombet-world-model-based-experience-transfer-for-robust-and-sample-efficient-reinforcement-learning-2/]]></guid>
			<link><![CDATA[https://provide.ai/wombet-world-model-based-experience-transfer-for-robust-and-sample-efficient-reinforcement-learning-2/]]></link>
			<title>WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/safe-and-nonconservative-contingency-planning-for-autonomous-vehicles-via-online-learning-based-reachable-set-barriers/]]></guid>
			<link><![CDATA[https://provide.ai/safe-and-nonconservative-contingency-planning-for-autonomous-vehicles-via-online-learning-based-reachable-set-barriers/]]></link>
			<title>Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/docseeker-structured-visual-reasoning-with-evidence-grounding-for-long-document-understanding-2/]]></guid>
			<link><![CDATA[https://provide.ai/docseeker-structured-visual-reasoning-with-evidence-grounding-for-long-document-understanding-2/]]></link>
			<title>DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding</title>
			<pubDate><![CDATA[Thu, 16 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
				</channel>
</rss>
