<?xml version="1.0" encoding="UTF-8"?>
<!-- This sitemap was dynamically generated on April 30, 2026 at 4:17 am by All in One SEO v4.9.6.2 - 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, 30 Apr 2026 04:00:00 +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/talent-or-luck-evaluating-attribution-bias-in-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/talent-or-luck-evaluating-attribution-bias-in-large-language-models/]]></link>
			<title>Talent or Luck? Evaluating Attribution Bias in Large Language Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/multimodal-llms-are-not-all-you-need-for-pediatric-speech-language-pathology/]]></guid>
			<link><![CDATA[https://provide.ai/multimodal-llms-are-not-all-you-need-for-pediatric-speech-language-pathology/]]></link>
			<title>Multimodal LLMs are not all you need for Pediatric Speech Language Pathology</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/decide-less-communicate-more-on-the-construct-validity-of-end-to-end-fact-checking-in-medicine/]]></guid>
			<link><![CDATA[https://provide.ai/decide-less-communicate-more-on-the-construct-validity-of-end-to-end-fact-checking-in-medicine/]]></link>
			<title>Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/translating-under-pressure-domain-aware-llms-for-crisis-communication/]]></guid>
			<link><![CDATA[https://provide.ai/translating-under-pressure-domain-aware-llms-for-crisis-communication/]]></link>
			<title>Translating Under Pressure: Domain-Aware LLMs for Crisis Communication</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/beyond-the-leaderboard-rethinking-medical-benchmarks-for-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/beyond-the-leaderboard-rethinking-medical-benchmarks-for-large-language-models/]]></link>
			<title>Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/zero-shot-to-full-resource-cross-lingual-transfer-strategies-for-aspect-based-sentiment-analysis/]]></guid>
			<link><![CDATA[https://provide.ai/zero-shot-to-full-resource-cross-lingual-transfer-strategies-for-aspect-based-sentiment-analysis/]]></link>
			<title>Zero-Shot to Full-Resource: Cross-lingual Transfer Strategies for Aspect-Based Sentiment Analysis</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/heterogeneous-adaptive-policy-optimization-tailoring-optimization-to-every-tokens-nature/]]></guid>
			<link><![CDATA[https://provide.ai/heterogeneous-adaptive-policy-optimization-tailoring-optimization-to-every-tokens-nature/]]></link>
			<title>Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token&#8217;s Nature</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/ocr-memory-optical-context-retrieval-for-long-horizon-agent-memory/]]></guid>
			<link><![CDATA[https://provide.ai/ocr-memory-optical-context-retrieval-for-long-horizon-agent-memory/]]></link>
			<title>OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/a-survey-of-process-reward-models-from-outcome-signals-to-process-supervisions-for-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/a-survey-of-process-reward-models-from-outcome-signals-to-process-supervisions-for-large-language-models/]]></link>
			<title>A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/sage-a-strategy-aware-graph-enhanced-generation-framework-for-online-counseling/]]></guid>
			<link><![CDATA[https://provide.ai/sage-a-strategy-aware-graph-enhanced-generation-framework-for-online-counseling/]]></link>
			<title>SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/when-annotators-disagree-topology-explains-mapper-a-topological-tool-for-exploring-text-embedding-geometry-and-ambiguity/]]></guid>
			<link><![CDATA[https://provide.ai/when-annotators-disagree-topology-explains-mapper-a-topological-tool-for-exploring-text-embedding-geometry-and-ambiguity/]]></link>
			<title>When Annotators Disagree, Topology Explains: Mapper, a Topological Tool for Exploring Text Embedding Geometry and Ambiguity</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/differentially-private-text-rewriting-reshapes-linguistic-style/]]></guid>
			<link><![CDATA[https://provide.ai/differentially-private-text-rewriting-reshapes-linguistic-style/]]></link>
			<title>Differentially-Private Text Rewriting reshapes Linguistic Style</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/training-free-loosely-speculative-decoding-accepting-semantically-correct-drafts-beyond-exact-match/]]></guid>
			<link><![CDATA[https://provide.ai/training-free-loosely-speculative-decoding-accepting-semantically-correct-drafts-beyond-exact-match/]]></link>
			<title>Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/from-black-box-confidence-to-measurable-trust-in-clinical-ai-a-framework-for-evidence-supervision-and-staged-autonomy/]]></guid>
			<link><![CDATA[https://provide.ai/from-black-box-confidence-to-measurable-trust-in-clinical-ai-a-framework-for-evidence-supervision-and-staged-autonomy/]]></link>
			<title>From Black-Box Confidence to Measurable Trust in Clinical AI: A Framework for Evidence, Supervision, and Staged Autonomy</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/safety-is-not-universal-the-selective-safety-trap-in-llm-alignment/]]></guid>
			<link><![CDATA[https://provide.ai/safety-is-not-universal-the-selective-safety-trap-in-llm-alignment/]]></link>
			<title>Safety Is Not Universal: The Selective Safety Trap in LLM Alignment</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/swap-distance-minimization-shapes-the-order-of-subject-object-and-verb-in-languages-of-the-world/]]></guid>
			<link><![CDATA[https://provide.ai/swap-distance-minimization-shapes-the-order-of-subject-object-and-verb-in-languages-of-the-world/]]></link>
			<title>Swap distance minimization shapes the order of subject, object and verb in languages of the world</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/verified-critical-step-optimization-for-llm-agents/]]></guid>
			<link><![CDATA[https://provide.ai/verified-critical-step-optimization-for-llm-agents/]]></link>
			<title>Verified Critical Step Optimization for LLM Agents</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/domain-adapted-small-language-models-for-reliable-clinical-triage/]]></guid>
			<link><![CDATA[https://provide.ai/domain-adapted-small-language-models-for-reliable-clinical-triage/]]></link>
			<title>Domain-Adapted Small Language Models for Reliable Clinical Triage</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/thinking-with-drafting-optical-decompression-via-logical-reconstruction/]]></guid>
			<link><![CDATA[https://provide.ai/thinking-with-drafting-optical-decompression-via-logical-reconstruction/]]></link>
			<title>Thinking with Drafting: Optical Decompression via Logical Reconstruction</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/decoupling-knowledge-and-task-subspaces-for-composable-parametric-retrieval-augmented-generation/]]></guid>
			<link><![CDATA[https://provide.ai/decoupling-knowledge-and-task-subspaces-for-composable-parametric-retrieval-augmented-generation/]]></link>
			<title>Decoupling Knowledge and Task Subspaces for Composable Parametric Retrieval Augmented Generation</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/lit-ragbench-benchmarking-generator-capabilities-of-large-language-models-in-retrieval-augmented-generation/]]></guid>
			<link><![CDATA[https://provide.ai/lit-ragbench-benchmarking-generator-capabilities-of-large-language-models-in-retrieval-augmented-generation/]]></link>
			<title>LIT-RAGBench: Benchmarking Generator Capabilities of Large Language Models in Retrieval-Augmented Generation</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/hallucitechecker-a-lightweight-toolkit-for-hallucinated-citation-detection-and-verification-in-the-era-of-ai-scientists/]]></guid>
			<link><![CDATA[https://provide.ai/hallucitechecker-a-lightweight-toolkit-for-hallucinated-citation-detection-and-verification-in-the-era-of-ai-scientists/]]></link>
			<title>HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/scimdr-advancing-scientific-multimodal-document-reasoning/]]></guid>
			<link><![CDATA[https://provide.ai/scimdr-advancing-scientific-multimodal-document-reasoning/]]></link>
			<title>SciMDR: Advancing Scientific Multimodal Document Reasoning</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/what-kind-of-language-is-easy-to-language-model-under-curriculum-learning/]]></guid>
			<link><![CDATA[https://provide.ai/what-kind-of-language-is-easy-to-language-model-under-curriculum-learning/]]></link>
			<title>What Kind of Language is Easy to Language-Model Under Curriculum Learning?</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/reasoning-gets-harder-for-llms-inside-a-dialogue/]]></guid>
			<link><![CDATA[https://provide.ai/reasoning-gets-harder-for-llms-inside-a-dialogue/]]></link>
			<title>Reasoning Gets Harder for LLMs Inside A Dialogue</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/morfi-monotonic-sparse-autoencoder-feature-identification/]]></guid>
			<link><![CDATA[https://provide.ai/morfi-monotonic-sparse-autoencoder-feature-identification/]]></link>
			<title>MoRFI: Monotonic Sparse Autoencoder Feature Identification</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/why-attend-to-everything-focus-is-the-key-2/]]></guid>
			<link><![CDATA[https://provide.ai/why-attend-to-everything-focus-is-the-key-2/]]></link>
			<title>Why Attend to Everything? Focus is the Key</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/healthnlp_retrievers-at-archehr-qa-2026-cascaded-llm-pipeline-for-grounded-clinical-question-answering/]]></guid>
			<link><![CDATA[https://provide.ai/healthnlp_retrievers-at-archehr-qa-2026-cascaded-llm-pipeline-for-grounded-clinical-question-answering/]]></link>
			<title>HealthNLP_Retrievers at ArchEHR-QA 2026: Cascaded LLM Pipeline for Grounded Clinical Question Answering</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/diffusion-language-models-for-speech-recognition-2/]]></guid>
			<link><![CDATA[https://provide.ai/diffusion-language-models-for-speech-recognition-2/]]></link>
			<title>Diffusion Language Models for Speech Recognition</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/clawgym-a-scalable-framework-for-building-effective-claw-agents/]]></guid>
			<link><![CDATA[https://provide.ai/clawgym-a-scalable-framework-for-building-effective-claw-agents/]]></link>
			<title>ClawGym: A Scalable Framework for Building Effective Claw Agents</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/a-self-evolving-framework-for-efficient-terminal-agents-via-observational-context-compression-2/]]></guid>
			<link><![CDATA[https://provide.ai/a-self-evolving-framework-for-efficient-terminal-agents-via-observational-context-compression-2/]]></link>
			<title>A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/select-to-think-unlocking-slm-potential-with-local-sufficiency/]]></guid>
			<link><![CDATA[https://provide.ai/select-to-think-unlocking-slm-potential-with-local-sufficiency/]]></link>
			<title>Select to Think: Unlocking SLM Potential with Local Sufficiency</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/how-do-ai-agents-spend-your-money-analyzing-and-predicting-token-consumption-in-agentic-coding-tasks-2/]]></guid>
			<link><![CDATA[https://provide.ai/how-do-ai-agents-spend-your-money-analyzing-and-predicting-token-consumption-in-agentic-coding-tasks-2/]]></link>
			<title>How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/turning-the-tide-cross-architecture-distillation-for-diffusion-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/turning-the-tide-cross-architecture-distillation-for-diffusion-large-language-models/]]></link>
			<title>Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models-2/]]></guid>
			<link><![CDATA[https://provide.ai/faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models-2/]]></link>
			<title>Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/a-scoping-review-of-llm-as-a-judge-in-healthcare-and-the-medjudge-framework/]]></guid>
			<link><![CDATA[https://provide.ai/a-scoping-review-of-llm-as-a-judge-in-healthcare-and-the-medjudge-framework/]]></link>
			<title>A Scoping Review of LLM-as-a-Judge in Healthcare and the MedJUDGE Framework</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/identifying-the-achilles-heel-an-iterative-method-for-dynamically-uncovering-factual-errors-in-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/identifying-the-achilles-heel-an-iterative-method-for-dynamically-uncovering-factual-errors-in-large-language-models/]]></link>
			<title>Identifying the Achilles&#8217; Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/a-quantitative-confirmation-of-the-currier-language-distinction/]]></guid>
			<link><![CDATA[https://provide.ai/a-quantitative-confirmation-of-the-currier-language-distinction/]]></link>
			<title>A Quantitative Confirmation of the Currier Language Distinction</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/crime-hotspot-prediction-using-deep-graph-convolutional-networks/]]></guid>
			<link><![CDATA[https://provide.ai/crime-hotspot-prediction-using-deep-graph-convolutional-networks/]]></link>
			<title>Crime Hotspot Prediction Using Deep Graph Convolutional Networks</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/swe-edit-rethinking-code-editing-for-efficient-swe-agent/]]></guid>
			<link><![CDATA[https://provide.ai/swe-edit-rethinking-code-editing-for-efficient-swe-agent/]]></link>
			<title>SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/vibe-check-understanding-the-effects-of-llm-based-conversational-agents-personality-and-alignment-on-user-perceptions-in-goal-oriented-tasks/]]></guid>
			<link><![CDATA[https://provide.ai/vibe-check-understanding-the-effects-of-llm-based-conversational-agents-personality-and-alignment-on-user-perceptions-in-goal-oriented-tasks/]]></link>
			<title>Vibe Check: Understanding the Effects of LLM-Based Conversational Agents&#8217; Personality and Alignment on User Perceptions in Goal-Oriented Tasks</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/adamem-adaptive-user-centric-memory-for-long-horizon-dialogue-agents/]]></guid>
			<link><![CDATA[https://provide.ai/adamem-adaptive-user-centric-memory-for-long-horizon-dialogue-agents/]]></link>
			<title>AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue Agents</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/one-voice-many-tongues-cross-lingual-voice-cloning-for-scientific-speech/]]></guid>
			<link><![CDATA[https://provide.ai/one-voice-many-tongues-cross-lingual-voice-cloning-for-scientific-speech/]]></link>
			<title>One Voice, Many Tongues: Cross-Lingual Voice Cloning for Scientific Speech</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/evaluation-of-automatic-speech-recognition-using-generative-large-language-models-2/]]></guid>
			<link><![CDATA[https://provide.ai/evaluation-of-automatic-speech-recognition-using-generative-large-language-models-2/]]></link>
			<title>Evaluation of Automatic Speech Recognition Using Generative Large Language Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/auto-argue-llm-based-report-generation-evaluation/]]></guid>
			<link><![CDATA[https://provide.ai/auto-argue-llm-based-report-generation-evaluation/]]></link>
			<title>Auto-ARGUE: LLM-Based Report Generation Evaluation</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/teaching-llm-to-be-persuasive-reward-enhanced-policy-optimization-for-alignment-from-heterogeneous-rewards/]]></guid>
			<link><![CDATA[https://provide.ai/teaching-llm-to-be-persuasive-reward-enhanced-policy-optimization-for-alignment-from-heterogeneous-rewards/]]></link>
			<title>Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous Rewards</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/beyond-screenshots-evaluating-vlms-understanding-of-ui-animations/]]></guid>
			<link><![CDATA[https://provide.ai/beyond-screenshots-evaluating-vlms-understanding-of-ui-animations/]]></link>
			<title>Beyond Screenshots: Evaluating VLMs&#8217; Understanding of UI Animations</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/mapping-the-maturation-of-tcm-as-an-adjuvant-to-radiotherapy/]]></guid>
			<link><![CDATA[https://provide.ai/mapping-the-maturation-of-tcm-as-an-adjuvant-to-radiotherapy/]]></link>
			<title>Mapping the maturation of TCM as an adjuvant to radiotherapy</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/saber-an-efficient-sampling-with-adaptive-acceleration-and-backtracking-enhanced-remasking-for-diffusion-language-model-2/]]></guid>
			<link><![CDATA[https://provide.ai/saber-an-efficient-sampling-with-adaptive-acceleration-and-backtracking-enhanced-remasking-for-diffusion-language-model-2/]]></link>
			<title>Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/a-practice-of-post-training-on-llama-3-70b-with-optimal-selection-of-additional-language-mixture-ratio/]]></guid>
			<link><![CDATA[https://provide.ai/a-practice-of-post-training-on-llama-3-70b-with-optimal-selection-of-additional-language-mixture-ratio/]]></link>
			<title>A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
				</channel>
</rss>
