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			<title>Mechanistic Interpretability Needs Philosophy</title>
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			<title>Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models</title>
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			<title>Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture</title>
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			<guid><![CDATA[https://provide.ai/eyes-on-vlm-benchmarking-gaze-following-and-social-gaze-prediction-in-vision-language-models/]]></guid>
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			<title>Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models</title>
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			<guid><![CDATA[https://provide.ai/agentatlas-beyond-outcome-leaderboards-for-llm-agents/]]></guid>
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			<title>AgentAtlas: Beyond Outcome Leaderboards for LLM Agents</title>
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			<guid><![CDATA[https://provide.ai/conflict-resilient-multi-agent-reasoning-via-signed-graph-modeling/]]></guid>
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			<title>Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling</title>
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			<guid><![CDATA[https://provide.ai/digital-voices-of-survival-from-social-media-disclosures-to-support-provisions-for-domestic-violence-victims/]]></guid>
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			<title>Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims</title>
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			<guid><![CDATA[https://provide.ai/universal-skeleton-understanding-via-differentiable-rendering-and-mllms-3/]]></guid>
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			<title>Universal Skeleton Understanding via Differentiable Rendering and MLLMs</title>
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			<guid><![CDATA[https://provide.ai/genai-fdia-physics-informed-generative-models-for-false-data-injection-attacks/]]></guid>
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			<title>GenAI-FDIA: Physics-Informed Generative Models for False Data Injection Attacks</title>
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			<guid><![CDATA[https://provide.ai/mvi-bench-a-comprehensive-benchmark-for-evaluating-robustness-to-misleading-visual-inputs-in-lvlms/]]></guid>
			<link><![CDATA[https://provide.ai/mvi-bench-a-comprehensive-benchmark-for-evaluating-robustness-to-misleading-visual-inputs-in-lvlms/]]></link>
			<title>MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs</title>
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			<guid><![CDATA[https://provide.ai/hybrid-training-for-vision-language-action-models/]]></guid>
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			<title>Hybrid Training for Vision-Language-Action Models</title>
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			<guid><![CDATA[https://provide.ai/task-routed-mixture-of-experts-with-cognitive-appraisal-for-implicit-sentiment-analysis/]]></guid>
			<link><![CDATA[https://provide.ai/task-routed-mixture-of-experts-with-cognitive-appraisal-for-implicit-sentiment-analysis/]]></link>
			<title>Task-Routed Mixture-of-Experts with Cognitive Appraisal for Implicit Sentiment Analysis</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/learning-stable-predictors-from-weak-supervision-under-distribution-shift-3/]]></guid>
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			<title>Learning Stable Predictors from Weak Supervision under Distribution Shift</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/robust-basis-spline-decoupling-for-the-compression-of-transformer-models/]]></guid>
			<link><![CDATA[https://provide.ai/robust-basis-spline-decoupling-for-the-compression-of-transformer-models/]]></link>
			<title>Robust Basis Spline Decoupling for the Compression of Transformer Models</title>
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			<guid><![CDATA[https://provide.ai/sweet-sparse-world-modeling-with-image-editing-for-embodied-task-execution/]]></guid>
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			<title>SWEET: Sparse World Modeling with Image Editing for Embodied Task Execution</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/setcon-towards-open-ended-referring-segmentation-via-set-level-concept-prediction/]]></guid>
			<link><![CDATA[https://provide.ai/setcon-towards-open-ended-referring-segmentation-via-set-level-concept-prediction/]]></link>
			<title>SetCon: Towards Open-Ended Referring Segmentation via Set-Level Concept Prediction</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/landscape-awareness-for-geometric-view-diffusion-model/]]></guid>
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			<title>Landscape-Awareness for Geometric View Diffusion Model</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/avsd-adaptive-view-self-distillation-by-balancing-consensus-and-teacher-specific-privileged-signals/]]></guid>
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			<title>AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/what-and-when-to-distill-selective-hindsight-distillation-for-multi-turn-agents/]]></guid>
			<link><![CDATA[https://provide.ai/what-and-when-to-distill-selective-hindsight-distillation-for-multi-turn-agents/]]></link>
			<title>What and When to Distill: Selective Hindsight Distillation for Multi-Turn Agents</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/hide-rethinking-the-zoom-in-method-in-high-resolution-mllms-via-hierarchical-decoupling/]]></guid>
			<link><![CDATA[https://provide.ai/hide-rethinking-the-zoom-in-method-in-high-resolution-mllms-via-hierarchical-decoupling/]]></link>
			<title>HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling</title>
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			<guid><![CDATA[https://provide.ai/textalign-preference-alignment-for-text-rendering-with-hierarchical-rewards/]]></guid>
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			<title>TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards</title>
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			<guid><![CDATA[https://provide.ai/efficient-transferable-optimal-transport-via-min-sliced-transport-plans/]]></guid>
			<link><![CDATA[https://provide.ai/efficient-transferable-optimal-transport-via-min-sliced-transport-plans/]]></link>
			<title>Efficient Transferable Optimal Transport via Min-Sliced Transport Plans</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/pixverve-advancing-native-uhr-image-generation-to-100mp-with-a-large-scale-high-quality-dataset/]]></guid>
			<link><![CDATA[https://provide.ai/pixverve-advancing-native-uhr-image-generation-to-100mp-with-a-large-scale-high-quality-dataset/]]></link>
			<title>PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/evaluating-speech-articulation-synthesis-with-articulatory-phoneme-recognition/]]></guid>
			<link><![CDATA[https://provide.ai/evaluating-speech-articulation-synthesis-with-articulatory-phoneme-recognition/]]></link>
			<title>Evaluating Speech Articulation Synthesis with Articulatory Phoneme Recognition</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/generative-auto-bidding-with-unified-modeling-and-exploration/]]></guid>
			<link><![CDATA[https://provide.ai/generative-auto-bidding-with-unified-modeling-and-exploration/]]></link>
			<title>Generative Auto-Bidding with Unified Modeling and Exploration</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/hellora-hot-experts-layer-level-low-rank-adaptation-for-mixture-of-experts-models/]]></guid>
			<link><![CDATA[https://provide.ai/hellora-hot-experts-layer-level-low-rank-adaptation-for-mixture-of-experts-models/]]></link>
			<title>HELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/fast-and-featureless-node-representation-learning-with-partial-pairwise-supervision/]]></guid>
			<link><![CDATA[https://provide.ai/fast-and-featureless-node-representation-learning-with-partial-pairwise-supervision/]]></link>
			<title>Fast and Featureless Node Representation Learning with Partial Pairwise Supervision</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/structured-layout-priors-for-robust-out-of-distribution-visual-document-understanding/]]></guid>
			<link><![CDATA[https://provide.ai/structured-layout-priors-for-robust-out-of-distribution-visual-document-understanding/]]></link>
			<title>Structured Layout Priors for Robust Out-of-Distribution Visual Document Understanding</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/draw2think-harnessing-geometry-reasoning-through-constraint-engine-interaction/]]></guid>
			<link><![CDATA[https://provide.ai/draw2think-harnessing-geometry-reasoning-through-constraint-engine-interaction/]]></link>
			<title>Draw2Think: Harnessing Geometry Reasoning through Constraint Engine Interaction</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/pretraining-objective-matters-in-extreme-low-data-fgvc-a-backbone-controlled-study-2/]]></guid>
			<link><![CDATA[https://provide.ai/pretraining-objective-matters-in-extreme-low-data-fgvc-a-backbone-controlled-study-2/]]></link>
			<title>Pretraining Objective Matters in Extreme Low-Data FGVC: A Backbone-Controlled Study</title>
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			<guid><![CDATA[https://provide.ai/warc-bench-web-archive-based-benchmark-for-gui-subtask-executions/]]></guid>
			<link><![CDATA[https://provide.ai/warc-bench-web-archive-based-benchmark-for-gui-subtask-executions/]]></link>
			<title>WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/dynatok-temporally-adaptive-and-positional-bias-aware-token-compression-for-video-llms/]]></guid>
			<link><![CDATA[https://provide.ai/dynatok-temporally-adaptive-and-positional-bias-aware-token-compression-for-video-llms/]]></link>
			<title>DynaTok: Temporally Adaptive and Positional Bias-Aware Token Compression for Video-LLMs</title>
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			<guid><![CDATA[https://provide.ai/the-extremum-stack-is-a-minimal-sufficient-statistic-for-rate-independent-functionals-a-kolmogorov-complexity-characterisation/]]></guid>
			<link><![CDATA[https://provide.ai/the-extremum-stack-is-a-minimal-sufficient-statistic-for-rate-independent-functionals-a-kolmogorov-complexity-characterisation/]]></link>
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			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
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