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			<title>Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering</title>
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			<title>Language Models Might Not Understand You: Evaluating Theory of Mind via Story Prompting</title>
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			<guid><![CDATA[https://provide.ai/multimodal-qud-inquisitive-questions-from-scientific-figures/]]></guid>
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			<title>Multimodal QUD: Inquisitive Questions from Scientific Figures</title>
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			<guid><![CDATA[https://provide.ai/quantifying-divergence-in-inter-llm-communication-through-api-retrieval-and-ranking/]]></guid>
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			<title>Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Ranking</title>
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			<guid><![CDATA[https://provide.ai/benchmarking-and-mitigating-sycophancy-in-medical-vision-language-models/]]></guid>
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			<title>Benchmarking and Mitigating Sycophancy in Medical Vision Language Models</title>
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			<guid><![CDATA[https://provide.ai/expert-evaluation-of-llms-open-ended-legal-reasoning-on-the-japanese-bar-exam-writing-task/]]></guid>
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			<title>Expert Evaluation of LLM&#8217;s Open-Ended Legal Reasoning on the Japanese Bar Exam Writing Task</title>
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			<guid><![CDATA[https://provide.ai/crisp-persistent-concept-unlearning-via-sparse-autoencoders/]]></guid>
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			<title>CRISP: Persistent Concept Unlearning via Sparse Autoencoders</title>
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			<guid><![CDATA[https://provide.ai/a-lightweight-explainable-guardrail-for-prompt-safety/]]></guid>
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			<title>A Lightweight Explainable Guardrail for Prompt Safety</title>
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			<title>UGAF-ITS: A Standards Harmonization Framework and Validation Tool for Multi-Framework AI Governance in Distributed Intelligent Transportation Systems</title>
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			<title>Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion</title>
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			<link><![CDATA[https://provide.ai/domain-fine-tuning-vs-retrieval-augmented-generation-for-medical-multiple-choice-question-answering-a-controlled-comparison-at-the-4b-parameter-scale/]]></link>
			<title>Domain Fine-Tuning vs. Retrieval-Augmented Generation for Medical Multiple-Choice Question Answering: A Controlled Comparison at the 4B-Parameter Scale</title>
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			<guid><![CDATA[https://provide.ai/secure-on-premise-deployment-of-open-weights-large-language-models-in-radiology-an-isolation-first-architecture-with-prospective-pilot-evaluation/]]></guid>
			<link><![CDATA[https://provide.ai/secure-on-premise-deployment-of-open-weights-large-language-models-in-radiology-an-isolation-first-architecture-with-prospective-pilot-evaluation/]]></link>
			<title>Secure On-Premise Deployment of Open-Weights Large Language Models in Radiology: An Isolation-First Architecture with Prospective Pilot Evaluation</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/verifying-quantized-gnns-with-readout-is-decidable-but-highly-intractable/]]></guid>
			<link><![CDATA[https://provide.ai/verifying-quantized-gnns-with-readout-is-decidable-but-highly-intractable/]]></link>
			<title>Verifying Quantized GNNs With Readout Is Decidable But Highly Intractable</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/modeling-induced-pleasure-through-cognitive-appraisal-prediction-via-multimodal-fusion/]]></guid>
			<link><![CDATA[https://provide.ai/modeling-induced-pleasure-through-cognitive-appraisal-prediction-via-multimodal-fusion/]]></link>
			<title>Modeling Induced Pleasure through Cognitive Appraisal Prediction via Multimodal Fusion</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/swe-qa-can-language-models-answer-repository-level-code-questions/]]></guid>
			<link><![CDATA[https://provide.ai/swe-qa-can-language-models-answer-repository-level-code-questions/]]></link>
			<title>SWE-QA: Can Language Models Answer Repository-level Code Questions?</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/citeaudit-you-cited-it-but-did-you-read-it-a-benchmark-for-verifying-scientific-references-in-the-llm-era/]]></guid>
			<link><![CDATA[https://provide.ai/citeaudit-you-cited-it-but-did-you-read-it-a-benchmark-for-verifying-scientific-references-in-the-llm-era/]]></link>
			<title>CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/see-no-evil-semantic-context-aware-privacy-risk-detection-for-ar/]]></guid>
			<link><![CDATA[https://provide.ai/see-no-evil-semantic-context-aware-privacy-risk-detection-for-ar/]]></link>
			<title>See No Evil: Semantic Context-Aware Privacy Risk Detection for AR</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/bandroutenet-an-adaptive-band-routing-neural-network-for-eeg-artifact-removal/]]></guid>
			<link><![CDATA[https://provide.ai/bandroutenet-an-adaptive-band-routing-neural-network-for-eeg-artifact-removal/]]></link>
			<title>BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/legaldrill-diagnosis-driven-synthesis-for-legal-reasoning-in-small-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/legaldrill-diagnosis-driven-synthesis-for-legal-reasoning-in-small-language-models/]]></link>
			<title>LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/learning-in-blocks-a-multi-agent-debate-assisted-personalized-adaptive-learning-framework-for-language-learning/]]></guid>
			<link><![CDATA[https://provide.ai/learning-in-blocks-a-multi-agent-debate-assisted-personalized-adaptive-learning-framework-for-language-learning/]]></link>
			<title>Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/question-adaptive-graph-learning-for-multi-hop-retrieval-augmented-generation/]]></guid>
			<link><![CDATA[https://provide.ai/question-adaptive-graph-learning-for-multi-hop-retrieval-augmented-generation/]]></link>
			<title>Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/fair_xai-improving-multimodal-foundation-model-fairness-via-explainability-for-wellbeing-assessment/]]></guid>
			<link><![CDATA[https://provide.ai/fair_xai-improving-multimodal-foundation-model-fairness-via-explainability-for-wellbeing-assessment/]]></link>
			<title>FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/cfdllmbench-a-benchmark-suite-for-evaluating-large-language-models-in-computational-fluid-dynamics/]]></guid>
			<link><![CDATA[https://provide.ai/cfdllmbench-a-benchmark-suite-for-evaluating-large-language-models-in-computational-fluid-dynamics/]]></link>
			<title>CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://provide.ai/indirect-question-answering-in-english-german-and-bavarian-a-challenging-task-for-high-and-low-resource-languages-alike/]]></guid>
			<link><![CDATA[https://provide.ai/indirect-question-answering-in-english-german-and-bavarian-a-challenging-task-for-high-and-low-resource-languages-alike/]]></link>
			<title>Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/freqformer-hierarchical-frequency-domain-attention-with-adaptive-spectral-routing-for-long-sequence-video-diffusion-transformers/]]></guid>
			<link><![CDATA[https://provide.ai/freqformer-hierarchical-frequency-domain-attention-with-adaptive-spectral-routing-for-long-sequence-video-diffusion-transformers/]]></link>
			<title>FreqFormer: Hierarchical Frequency-Domain Attention with Adaptive Spectral Routing for Long-Sequence Video Diffusion Transformers</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/why-ai-harms-cant-be-fixed-one-identity-at-a-time-what-5300-incident-reports-reveal-about-intersectionality/]]></guid>
			<link><![CDATA[https://provide.ai/why-ai-harms-cant-be-fixed-one-identity-at-a-time-what-5300-incident-reports-reveal-about-intersectionality/]]></link>
			<title>Why AI Harms Can&#8217;t Be Fixed One Identity at a Time: What 5300 Incident Reports Reveal About Intersectionality</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/dracula-hunting-for-the-actions-users-want-deep-research-agents-to-execute/]]></guid>
			<link><![CDATA[https://provide.ai/dracula-hunting-for-the-actions-users-want-deep-research-agents-to-execute/]]></link>
			<title>DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/karl-mitigating-hallucinations-in-llms-via-knowledge-boundary-aware-reinforcement-learning/]]></guid>
			<link><![CDATA[https://provide.ai/karl-mitigating-hallucinations-in-llms-via-knowledge-boundary-aware-reinforcement-learning/]]></link>
			<title>KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/crossguard-safeguarding-mllms-against-joint-modal-implicit-malicious-attacks/]]></guid>
			<link><![CDATA[https://provide.ai/crossguard-safeguarding-mllms-against-joint-modal-implicit-malicious-attacks/]]></link>
			<title>CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/domain-filtered-knowledge-graphs-from-sparse-autoencoder-features/]]></guid>
			<link><![CDATA[https://provide.ai/domain-filtered-knowledge-graphs-from-sparse-autoencoder-features/]]></link>
			<title>Domain-Filtered Knowledge Graphs from Sparse Autoencoder Features</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/scheming-ability-in-llm-to-llm-strategic-interactions/]]></guid>
			<link><![CDATA[https://provide.ai/scheming-ability-in-llm-to-llm-strategic-interactions/]]></link>
			<title>Scheming Ability in LLM-to-LLM Strategic Interactions</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/switch-attention-towards-dynamic-and-fine-grained-hybrid-transformers-2/]]></guid>
			<link><![CDATA[https://provide.ai/switch-attention-towards-dynamic-and-fine-grained-hybrid-transformers-2/]]></link>
			<title>Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/applied-ai-enhanced-rf-interference-rejection/]]></guid>
			<link><![CDATA[https://provide.ai/applied-ai-enhanced-rf-interference-rejection/]]></link>
			<title>Applied AI-Enhanced RF Interference Rejection</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/cf-vla-efficient-coarse-to-fine-action-generation-for-vision-language-action-policies/]]></guid>
			<link><![CDATA[https://provide.ai/cf-vla-efficient-coarse-to-fine-action-generation-for-vision-language-action-policies/]]></link>
			<title>CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/resource-lean-lexicon-induction-for-german-dialects/]]></guid>
			<link><![CDATA[https://provide.ai/resource-lean-lexicon-induction-for-german-dialects/]]></link>
			<title>Resource-Lean Lexicon Induction for German Dialects</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/rcsb-pdb-ai-help-desk-retrieval-augmented-generation-for-protein-structure-deposition-support/]]></guid>
			<link><![CDATA[https://provide.ai/rcsb-pdb-ai-help-desk-retrieval-augmented-generation-for-protein-structure-deposition-support/]]></link>
			<title>RCSB PDB AI Help Desk: retrieval-augmented generation for protein structure deposition support</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/clawtrace-cost-aware-tracing-for-llm-agent-skill-distillation/]]></guid>
			<link><![CDATA[https://provide.ai/clawtrace-cost-aware-tracing-for-llm-agent-skill-distillation/]]></link>
			<title>ClawTrace: Cost-Aware Tracing for LLM Agent Skill Distillation</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/representation-homogeneity-and-systemic-instability-in-ai-dominated-financial-markets-a-structural-approach/]]></guid>
			<link><![CDATA[https://provide.ai/representation-homogeneity-and-systemic-instability-in-ai-dominated-financial-markets-a-structural-approach/]]></link>
			<title>Representation Homogeneity and Systemic Instability in AI-Dominated Financial Markets: A Structural Approach</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/food4all-a-multi-agent-framework-for-real-time-free-food-discovery-with-integrated-nutritional-metadata/]]></guid>
			<link><![CDATA[https://provide.ai/food4all-a-multi-agent-framework-for-real-time-free-food-discovery-with-integrated-nutritional-metadata/]]></link>
			<title>Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/council-mode-a-heterogeneous-multi-agent-consensus-framework-for-reducing-llm-hallucination-and-bias/]]></guid>
			<link><![CDATA[https://provide.ai/council-mode-a-heterogeneous-multi-agent-consensus-framework-for-reducing-llm-hallucination-and-bias/]]></link>
			<title>Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and Bias</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/el3dd-extended-latent-3d-diffusion-for-language-conditioned-multitask-manipulation/]]></guid>
			<link><![CDATA[https://provide.ai/el3dd-extended-latent-3d-diffusion-for-language-conditioned-multitask-manipulation/]]></link>
			<title>EL3DD: Extended Latent 3D Diffusion for Language Conditioned Multitask Manipulation</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/one-size-fits-none-heuristic-collapse-in-llm-investment-advice/]]></guid>
			<link><![CDATA[https://provide.ai/one-size-fits-none-heuristic-collapse-in-llm-investment-advice/]]></link>
			<title>One Size Fits None: Heuristic Collapse in LLM Investment Advice</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/in-sync-adaptation-of-speech-aware-large-language-models-for-asr-with-word-level-timestamp-predictions/]]></guid>
			<link><![CDATA[https://provide.ai/in-sync-adaptation-of-speech-aware-large-language-models-for-asr-with-word-level-timestamp-predictions/]]></link>
			<title>In-Sync: Adaptation of Speech Aware Large Language Models for ASR with Word Level Timestamp Predictions</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/does-machine-unlearning-preserve-clinical-safety-a-risk-analysis-for-medical-image-classification/]]></guid>
			<link><![CDATA[https://provide.ai/does-machine-unlearning-preserve-clinical-safety-a-risk-analysis-for-medical-image-classification/]]></link>
			<title>Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/complete-cyclic-subtask-graphs-for-tool-using-llm-agents-flexibility-cost-and-bottlenecks-in-multi-agent-workflows/]]></guid>
			<link><![CDATA[https://provide.ai/complete-cyclic-subtask-graphs-for-tool-using-llm-agents-flexibility-cost-and-bottlenecks-in-multi-agent-workflows/]]></link>
			<title>Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Multi-Agent Workflows</title>
			<pubDate><![CDATA[Tue, 28 Apr 2026 04:00:00 +0000]]></pubDate>
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