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			<title>The ROI of AI for Health Payers: Moving from Hype to Hard Savings</title>
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			<title>Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution</title>
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			<guid><![CDATA[https://provide.ai/longsumeval-question-answering-based-evaluation-and-feedback-driven-refinement-for-long-document-summarization/]]></guid>
			<link><![CDATA[https://provide.ai/longsumeval-question-answering-based-evaluation-and-feedback-driven-refinement-for-long-document-summarization/]]></link>
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			<guid><![CDATA[https://provide.ai/using-embedding-models-to-improve-probabilistic-race-prediction-2/]]></guid>
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			<title>Using Embedding Models to Improve Probabilistic Race Prediction</title>
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			<title>What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective</title>
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			<title>Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations</title>
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			<guid><![CDATA[https://provide.ai/korean-aegyo-speech-shows-systematic-f1-increase-to-signal-childlike-qualities/]]></guid>
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			<title>Korean aegyo speech shows systematic F1 increase to signal childlike qualities</title>
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			<guid><![CDATA[https://provide.ai/snapmla-efficient-long-context-mla-decoding-via-hardware-aware-fp8-quantized-pipelining/]]></guid>
			<link><![CDATA[https://provide.ai/snapmla-efficient-long-context-mla-decoding-via-hardware-aware-fp8-quantized-pipelining/]]></link>
			<title>SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/fama-failure-aware-meta-agentic-framework-for-open-source-llms-in-interactive-tool-use-environments/]]></guid>
			<link><![CDATA[https://provide.ai/fama-failure-aware-meta-agentic-framework-for-open-source-llms-in-interactive-tool-use-environments/]]></link>
			<title>FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/the-llm-fallacy-misattribution-in-ai-assisted-cognitive-workflows-2/]]></guid>
			<link><![CDATA[https://provide.ai/the-llm-fallacy-misattribution-in-ai-assisted-cognitive-workflows-2/]]></link>
			<title>The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/frictive-policy-optimization-for-llms-epistemic-intervention-risk-sensitive-control-and-reflective-alignment/]]></guid>
			<link><![CDATA[https://provide.ai/frictive-policy-optimization-for-llms-epistemic-intervention-risk-sensitive-control-and-reflective-alignment/]]></link>
			<title>Frictive Policy Optimization for LLMs: Epistemic Intervention, Risk-Sensitive Control, and Reflective Alignment</title>
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			<guid><![CDATA[https://provide.ai/barriers-to-universal-reasoning-with-transformers-and-how-to-overcome-them/]]></guid>
			<link><![CDATA[https://provide.ai/barriers-to-universal-reasoning-with-transformers-and-how-to-overcome-them/]]></link>
			<title>Barriers to Universal Reasoning With Transformers (And How to Overcome Them)</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/crosearch-r1-better-leveraging-cross-lingual-knowledge-for-retrieval-augmented-generation/]]></guid>
			<link><![CDATA[https://provide.ai/crosearch-r1-better-leveraging-cross-lingual-knowledge-for-retrieval-augmented-generation/]]></link>
			<title>CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/touchai-exploring-human-ai-perceptual-alignment-in-touch-through-language-model-representations/]]></guid>
			<link><![CDATA[https://provide.ai/touchai-exploring-human-ai-perceptual-alignment-in-touch-through-language-model-representations/]]></link>
			<title>TouchAI: Exploring human-AI perceptual alignment in touch through language model representations</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/barred-synthetic-training-of-custom-policy-guardrails-via-asymmetric-debate/]]></guid>
			<link><![CDATA[https://provide.ai/barred-synthetic-training-of-custom-policy-guardrails-via-asymmetric-debate/]]></link>
			<title>BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/cheaper-better-faster-stronger-robust-text-to-sql-without-chain-of-thought-or-fine-tuning/]]></guid>
			<link><![CDATA[https://provide.ai/cheaper-better-faster-stronger-robust-text-to-sql-without-chain-of-thought-or-fine-tuning/]]></link>
			<title>Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance/]]></guid>
			<link><![CDATA[https://provide.ai/below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance/]]></link>
			<title>Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/is-large-language-model-performance-on-reasoning-tasks-impacted-by-different-ways-questions-are-asked/]]></guid>
			<link><![CDATA[https://provide.ai/is-large-language-model-performance-on-reasoning-tasks-impacted-by-different-ways-questions-are-asked/]]></link>
			<title>Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked?</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/learning-from-medical-entity-trees-an-entity-centric-medical-data-engineering-framework-for-mllms/]]></guid>
			<link><![CDATA[https://provide.ai/learning-from-medical-entity-trees-an-entity-centric-medical-data-engineering-framework-for-mllms/]]></link>
			<title>Learning from Medical Entity Trees: An Entity-Centric Medical Data Engineering Framework for MLLMs</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://provide.ai/beyond-im-sorry-i-cant-dissecting-large-language-model-refusal/]]></guid>
			<link><![CDATA[https://provide.ai/beyond-im-sorry-i-cant-dissecting-large-language-model-refusal/]]></link>
			<title>Beyond I&#8217;m Sorry, I Can&#8217;t: Dissecting Large Language Model Refusal</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/legalmidm-use-case-driven-legal-domain-specialization-for-korean-large-language-model/]]></guid>
			<link><![CDATA[https://provide.ai/legalmidm-use-case-driven-legal-domain-specialization-for-korean-large-language-model/]]></link>
			<title>LegalMidm: Use-Case-Driven Legal Domain Specialization for Korean Large Language Model</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/diffadapt-difficulty-adaptive-reasoning-for-token-efficient-llm-inference/]]></guid>
			<link><![CDATA[https://provide.ai/diffadapt-difficulty-adaptive-reasoning-for-token-efficient-llm-inference/]]></link>
			<title>DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://provide.ai/faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models/]]></guid>
			<link><![CDATA[https://provide.ai/faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models/]]></link>
			<title>Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/voyager-a-training-free-approach-for-generating-diverse-datasets-using-llms/]]></guid>
			<link><![CDATA[https://provide.ai/voyager-a-training-free-approach-for-generating-diverse-datasets-using-llms/]]></link>
			<title>VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://provide.ai/the-structured-output-benchmark-a-multi-source-benchmark-for-evaluating-structured-output-quality-in-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/the-structured-output-benchmark-a-multi-source-benchmark-for-evaluating-structured-output-quality-in-large-language-models/]]></link>
			<title>The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://provide.ai/mgsm-pro-a-simple-strategy-for-robust-multilingual-mathematical-reasoning-evaluation/]]></guid>
			<link><![CDATA[https://provide.ai/mgsm-pro-a-simple-strategy-for-robust-multilingual-mathematical-reasoning-evaluation/]]></link>
			<title>MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/language-corpora-for-the-dutch-medical-domain/]]></guid>
			<link><![CDATA[https://provide.ai/language-corpora-for-the-dutch-medical-domain/]]></link>
			<title>Language corpora for the Dutch medical domain</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/how-rl-unlocks-the-aha-moment-in-geometric-interleaved-reasoning/]]></guid>
			<link><![CDATA[https://provide.ai/how-rl-unlocks-the-aha-moment-in-geometric-interleaved-reasoning/]]></link>
			<title>How RL Unlocks the Aha Moment in Geometric Interleaved Reasoning</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/wiki-dumps-to-training-corpora-south-slavic-case/]]></guid>
			<link><![CDATA[https://provide.ai/wiki-dumps-to-training-corpora-south-slavic-case/]]></link>
			<title>Wiki Dumps to Training Corpora: South Slavic Case</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/improving-llm-predictions-via-inter-layer-structural-encoders/]]></guid>
			<link><![CDATA[https://provide.ai/improving-llm-predictions-via-inter-layer-structural-encoders/]]></link>
			<title>Improving LLM Predictions via Inter-Layer Structural Encoders</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/benchmarking-pycaret-automl-against-indobert-fine-tuning-for-sentiment-analysis-on-indonesian-ikn-twitter-data/]]></guid>
			<link><![CDATA[https://provide.ai/benchmarking-pycaret-automl-against-indobert-fine-tuning-for-sentiment-analysis-on-indonesian-ikn-twitter-data/]]></link>
			<title>Benchmarking PyCaret AutoML Against IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian IKN Twitter Data</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/multi-user-large-language-model-agents-2/]]></guid>
			<link><![CDATA[https://provide.ai/multi-user-large-language-model-agents-2/]]></link>
			<title>Multi-User Large Language Model Agents</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/scaling-probabilistic-transformer-via-efficient-cross-scale-hyperparameter-transfer/]]></guid>
			<link><![CDATA[https://provide.ai/scaling-probabilistic-transformer-via-efficient-cross-scale-hyperparameter-transfer/]]></link>
			<title>Scaling Probabilistic Transformer via Efficient Cross-Scale Hyperparameter Transfer</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/epistemic-orientation-in-parliamentary-discourse-is-associated-with-deliberative-democracy-2/]]></guid>
			<link><![CDATA[https://provide.ai/epistemic-orientation-in-parliamentary-discourse-is-associated-with-deliberative-democracy-2/]]></link>
			<title>Epistemic orientation in parliamentary discourse is associated with deliberative democracy</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://provide.ai/do-llms-capture-embodied-cognition-and-cultural-variation-cross-linguistic-evidence-from-demonstratives/]]></guid>
			<link><![CDATA[https://provide.ai/do-llms-capture-embodied-cognition-and-cultural-variation-cross-linguistic-evidence-from-demonstratives/]]></link>
			<title>Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from Demonstratives</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/darc-clip-dynamic-adaptive-refinement-with-cross-attention-for-meme-understanding-2/]]></guid>
			<link><![CDATA[https://provide.ai/darc-clip-dynamic-adaptive-refinement-with-cross-attention-for-meme-understanding-2/]]></link>
			<title>DARC-CLIP: Dynamic Adaptive Refinement with Cross-Attention for Meme Understanding</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/one-refiner-to-unlock-them-all-inference-time-reasoning-elicitation-via-reinforcement-query-refinement/]]></guid>
			<link><![CDATA[https://provide.ai/one-refiner-to-unlock-them-all-inference-time-reasoning-elicitation-via-reinforcement-query-refinement/]]></link>
			<title>One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/improving-robustness-of-tabular-retrieval-via-representational-stability-2/]]></guid>
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			<title>Improving Robustness of Tabular Retrieval via Representational Stability</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/navigating-global-ai-regulation-a-multi-jurisdictional-retrieval-augmented-generation-system/]]></guid>
			<link><![CDATA[https://provide.ai/navigating-global-ai-regulation-a-multi-jurisdictional-retrieval-augmented-generation-system/]]></link>
			<title>Navigating Global AI Regulation: A Multi-Jurisdictional Retrieval-Augmented Generation System</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/named-entity-recognition-of-historical-texts-via-large-language-model/]]></guid>
			<link><![CDATA[https://provide.ai/named-entity-recognition-of-historical-texts-via-large-language-model/]]></link>
			<title>Named Entity Recognition of Historical Texts via Large Language Model</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
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