<?xml version="1.0" encoding="UTF-8"?>
<!-- This sitemap was dynamically generated on September 30, 2026 at 7:47 pm by All in One SEO v5.0.2 - the original SEO plugin for WordPress. -->

<?xml-stylesheet type="text/xsl" href="https://theaitoday.com/default-sitemap.xsl"?>

<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
	<channel>
		<title></title>
		<link><![CDATA[https://theaitoday.com]]></link>
		<lastBuildDate><![CDATA[Wed, 30 Sep 2026 04:00:00 +0000]]></lastBuildDate>
		<docs>https://validator.w3.org/feed/docs/rss2.html</docs>
		<atom:link href="https://theaitoday.com/sitemap.rss" rel="self" type="application/rss+xml" />
		<ttl><![CDATA[60]]></ttl>

		<item>
			<guid><![CDATA[https://theaitoday.com/kupas-master-distilling-the-tacit-expertise-of-master-practitioners-into-agent-ready-experience-corpora/]]></guid>
			<link><![CDATA[https://theaitoday.com/kupas-master-distilling-the-tacit-expertise-of-master-practitioners-into-agent-ready-experience-corpora/]]></link>
			<title>KUPAS MASTER: Distilling the Tacit Expertise of Master Practitioners into Agent-Ready Experience Corpora</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/tail-weight-control-and-localized-generalization-in-nearly-low-rank-adversarial-classification/]]></guid>
			<link><![CDATA[https://theaitoday.com/tail-weight-control-and-localized-generalization-in-nearly-low-rank-adversarial-classification/]]></link>
			<title>Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/f4r-failure-driven-recognition-reconstruction-refinement-and-redeployment-for-continual-robot-self-improvement/]]></guid>
			<link><![CDATA[https://theaitoday.com/f4r-failure-driven-recognition-reconstruction-refinement-and-redeployment-for-continual-robot-self-improvement/]]></link>
			<title>F4R: Failure-Driven Recognition, Reconstruction, Refinement, and Redeployment for Continual Robot Self-Improvement</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/dswm-decomposed-spatio-temporal-world-model-for-demand-driven-uav-base-station-repositioning/]]></guid>
			<link><![CDATA[https://theaitoday.com/dswm-decomposed-spatio-temporal-world-model-for-demand-driven-uav-base-station-repositioning/]]></link>
			<title>DSWM: Decomposed Spatio-Temporal World Model for Demand-Driven UAV Base Station Repositioning</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/on-policy-visual-evidence-distillation/]]></guid>
			<link><![CDATA[https://theaitoday.com/on-policy-visual-evidence-distillation/]]></link>
			<title>On-Policy Visual Evidence Distillation</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/tokencast-forecasting-token-consumption-during-llm-agent-execution/]]></guid>
			<link><![CDATA[https://theaitoday.com/tokencast-forecasting-token-consumption-during-llm-agent-execution/]]></link>
			<title>TokenCast: Forecasting Token Consumption During LLM Agent Execution</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/openai-huggingface-a-reproduction-lessons-for-alignment-testing/]]></guid>
			<link><![CDATA[https://theaitoday.com/openai-huggingface-a-reproduction-lessons-for-alignment-testing/]]></link>
			<title>OpenAI-HuggingFace: A Reproduction &amp; Lessons for Alignment Testing</title>
			<pubDate><![CDATA[Wed, 30 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/accounting-for-bias-enables-sustainable-llm-evaluation/]]></guid>
			<link><![CDATA[https://theaitoday.com/accounting-for-bias-enables-sustainable-llm-evaluation/]]></link>
			<title>Accounting for Bias Enables Sustainable LLM Evaluation</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/the-linear-representation-hypothesis-for-vision-language-action-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/the-linear-representation-hypothesis-for-vision-language-action-models/]]></link>
			<title>The Linear Representation Hypothesis for Vision-Language-Action Models</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/vlanext-family-a-systematic-study-of-vla-models-from-core-recipes-to-emerging-paradigms/]]></guid>
			<link><![CDATA[https://theaitoday.com/vlanext-family-a-systematic-study-of-vla-models-from-core-recipes-to-emerging-paradigms/]]></link>
			<title>VLANeXt Family: A Systematic Study of VLA Models from Core Recipes to Emerging Paradigms</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/beyond-forecasting-recasting-volatility-control-as-a-routing-problem/]]></guid>
			<link><![CDATA[https://theaitoday.com/beyond-forecasting-recasting-volatility-control-as-a-routing-problem/]]></link>
			<title>Beyond Forecasting: Recasting Volatility Control as a Routing Problem</title>
			<pubDate><![CDATA[Tue, 29 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/raptor-ridge-adaptive-logistic-probes/]]></guid>
			<link><![CDATA[https://theaitoday.com/raptor-ridge-adaptive-logistic-probes/]]></link>
			<title>RAPTOR: Ridge-Adaptive Logistic Probes</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/flip-final-layer-inference-time-probing-for-vision-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/flip-final-layer-inference-time-probing-for-vision-language-models/]]></link>
			<title>FLIP: Final Layer Inference-Time Probing for Vision-Language Models</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/arguard-shared-task-harmful-content-detection-in-arabic-memes-and-llm-prompts/]]></guid>
			<link><![CDATA[https://theaitoday.com/arguard-shared-task-harmful-content-detection-in-arabic-memes-and-llm-prompts/]]></link>
			<title>ArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/improving-visual-sensitivity-of-llms-on-multimodal-machine-translation-with-metric-based-loss-weighting/]]></guid>
			<link><![CDATA[https://theaitoday.com/improving-visual-sensitivity-of-llms-on-multimodal-machine-translation-with-metric-based-loss-weighting/]]></link>
			<title>Improving Visual Sensitivity of LLMs on Multimodal Machine Translation with Metric-based Loss Weighting</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/agentrecommender-llm-agents-enable-customizable-recommender-systems-on-the-user-side/]]></guid>
			<link><![CDATA[https://theaitoday.com/agentrecommender-llm-agents-enable-customizable-recommender-systems-on-the-user-side/]]></link>
			<title>AgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User Side</title>
			<pubDate><![CDATA[Mon, 28 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/physics-informed-machine-learning-predicts-binding-free-energy-changes-in-protein-rna-complexes-upon-mutations/]]></guid>
			<link><![CDATA[https://theaitoday.com/physics-informed-machine-learning-predicts-binding-free-energy-changes-in-protein-rna-complexes-upon-mutations/]]></link>
			<title>Physics informed machine learning predicts binding free energy changes in protein-RNA complexes upon mutations</title>
			<pubDate><![CDATA[Sat, 26 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/spacey-links-spatial-tissue-patterns-to-clinical-outcomes-using-explainable-graph-neural-networks/]]></guid>
			<link><![CDATA[https://theaitoday.com/spacey-links-spatial-tissue-patterns-to-clinical-outcomes-using-explainable-graph-neural-networks/]]></link>
			<title>SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks</title>
			<pubDate><![CDATA[Sat, 26 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/topological-signatures-of-cyber-attack-classes-in-natural-visibility-graph-representations-of-network-traffic/]]></guid>
			<link><![CDATA[https://theaitoday.com/topological-signatures-of-cyber-attack-classes-in-natural-visibility-graph-representations-of-network-traffic/]]></link>
			<title>Topological Signatures of Cyber-Attack Classes in Natural Visibility Graph Representations of Network Traffic</title>
			<pubDate><![CDATA[Fri, 25 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/rufus-air-an-open-llm-post-training-recipe/]]></guid>
			<link><![CDATA[https://theaitoday.com/rufus-air-an-open-llm-post-training-recipe/]]></link>
			<title>Rufus-Air: An Open LLM Post-Training Recipe</title>
			<pubDate><![CDATA[Fri, 25 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/agentic-ger-terminology-recovery-in-long-form-speech-using-global-context/]]></guid>
			<link><![CDATA[https://theaitoday.com/agentic-ger-terminology-recovery-in-long-form-speech-using-global-context/]]></link>
			<title>agentic-ger: terminology recovery in long-form speech using global context</title>
			<pubDate><![CDATA[Fri, 25 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/distillation-for-efficient-multitask-manipulation-policies-via-conditional-flow-matching/]]></guid>
			<link><![CDATA[https://theaitoday.com/distillation-for-efficient-multitask-manipulation-policies-via-conditional-flow-matching/]]></link>
			<title>Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching</title>
			<pubDate><![CDATA[Fri, 25 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/when-should-forecasting-agents-reason-behavioral-stress-tests-for-reliability-routing/]]></guid>
			<link><![CDATA[https://theaitoday.com/when-should-forecasting-agents-reason-behavioral-stress-tests-for-reliability-routing/]]></link>
			<title>When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability Routing</title>
			<pubDate><![CDATA[Fri, 25 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/anthropics-ai-biolab-finds-crispr-like-dna-in-viruses-whats-next/]]></guid>
			<link><![CDATA[https://theaitoday.com/anthropics-ai-biolab-finds-crispr-like-dna-in-viruses-whats-next/]]></link>
			<title>Anthropic’s AI biolab finds ‘CRISPR-like’ DNA in viruses. What’s next?</title>
			<pubDate><![CDATA[Fri, 25 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/a-structure-informed-deep-learning-framework-for-modeling-tcr-peptide-hla-interactions/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-structure-informed-deep-learning-framework-for-modeling-tcr-peptide-hla-interactions/]]></link>
			<title>A structure-informed deep learning framework for modeling TCR-peptide-HLA interactions</title>
			<pubDate><![CDATA[Fri, 25 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/quantwm-temporally-consistent-2-bit-kv-cache-quantization-for-world-models-and-video-generation/]]></guid>
			<link><![CDATA[https://theaitoday.com/quantwm-temporally-consistent-2-bit-kv-cache-quantization-for-world-models-and-video-generation/]]></link>
			<title>QuantWM: Temporally Consistent 2-Bit KV Cache Quantization for World Models and Video Generation</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/hard-negatives-reveal-what-easy-negatives-hide-cross-lingual-harmfulness-representations-degrade-with-resource-tier-under-hard-negatives/]]></guid>
			<link><![CDATA[https://theaitoday.com/hard-negatives-reveal-what-easy-negatives-hide-cross-lingual-harmfulness-representations-degrade-with-resource-tier-under-hard-negatives/]]></link>
			<title>Hard Negatives Reveal What Easy Negatives Hide: Cross-Lingual Harmfulness Representations Degrade with Resource Tier Under Hard Negatives</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/backdoors-leave-structural-traces-fedmast-for-backdoor-detection-and-containment-in-federated-learning/]]></guid>
			<link><![CDATA[https://theaitoday.com/backdoors-leave-structural-traces-fedmast-for-backdoor-detection-and-containment-in-federated-learning/]]></link>
			<title>Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/speakermem-r1-speaker-centered-dual-track-memory-for-multi-party-dialogue/]]></guid>
			<link><![CDATA[https://theaitoday.com/speakermem-r1-speaker-centered-dual-track-memory-for-multi-party-dialogue/]]></link>
			<title>SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/silent-failures-in-agent-tool-interaction-an-audit-of-tooluniverse/]]></guid>
			<link><![CDATA[https://theaitoday.com/silent-failures-in-agent-tool-interaction-an-audit-of-tooluniverse/]]></link>
			<title>Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/optimizing-the-delivery-of-radiotherapy-with-artificial-intelligence/]]></guid>
			<link><![CDATA[https://theaitoday.com/optimizing-the-delivery-of-radiotherapy-with-artificial-intelligence/]]></link>
			<title>Optimizing the delivery of radiotherapy with artificial intelligence</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/uptcr-a-unified-progressive-knowledge-transfer-foundation-model-for-robust-t-cell-receptor-antigen-binding-recognition/]]></guid>
			<link><![CDATA[https://theaitoday.com/uptcr-a-unified-progressive-knowledge-transfer-foundation-model-for-robust-t-cell-receptor-antigen-binding-recognition/]]></link>
			<title>UpTCR: a unified progressive knowledge transfer foundation model for robust T-cell receptor-antigen binding recognition</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/dr-gem-enables-self-supervised-machine-learning-for-single-cell-embeddings-and-annotations/]]></guid>
			<link><![CDATA[https://theaitoday.com/dr-gem-enables-self-supervised-machine-learning-for-single-cell-embeddings-and-annotations/]]></link>
			<title>DR-GEM enables self-supervised machine learning for single-cell embeddings and annotations</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/ai-system-helps-lab-devices-talk-with-each-other-streamlining-research/]]></guid>
			<link><![CDATA[https://theaitoday.com/ai-system-helps-lab-devices-talk-with-each-other-streamlining-research/]]></link>
			<title>AI system helps lab devices ‘talk’ with each other — streamlining research</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/ai-agent-hacks-government-website-for-first-time-why-this-breach-matters/]]></guid>
			<link><![CDATA[https://theaitoday.com/ai-agent-hacks-government-website-for-first-time-why-this-breach-matters/]]></link>
			<title>AI agent hacks government website for first time: why this breach matters</title>
			<pubDate><![CDATA[Thu, 24 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/paint-anything-unified-any-color-control-for-image-generation-and-editing/]]></guid>
			<link><![CDATA[https://theaitoday.com/paint-anything-unified-any-color-control-for-image-generation-and-editing/]]></link>
			<title>Paint-Anything: Unified Any-Color Control for Image Generation and Editing</title>
			<pubDate><![CDATA[Wed, 23 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/misaligned-clinical-risk-classification-and-cost-asymmetry-in-open-weight-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/misaligned-clinical-risk-classification-and-cost-asymmetry-in-open-weight-large-language-models/]]></link>
			<title>Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models</title>
			<pubDate><![CDATA[Wed, 23 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/interhier-learning-interconnected-hierarchical-semantics-for-open-vocabulary-object-detection/]]></guid>
			<link><![CDATA[https://theaitoday.com/interhier-learning-interconnected-hierarchical-semantics-for-open-vocabulary-object-detection/]]></link>
			<title>InterHier: Learning Interconnected Hierarchical Semantics for Open-Vocabulary Object Detection</title>
			<pubDate><![CDATA[Wed, 23 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/gamelogicbench-evaluating-coding-agents-on-runtime-game-logic-with-tick-level-state-assertions/]]></guid>
			<link><![CDATA[https://theaitoday.com/gamelogicbench-evaluating-coding-agents-on-runtime-game-logic-with-tick-level-state-assertions/]]></link>
			<title>GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions</title>
			<pubDate><![CDATA[Wed, 23 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/didactic-knowledge-or-clinical-cases-how-data-types-shape-medical-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/didactic-knowledge-or-clinical-cases-how-data-types-shape-medical-large-language-models/]]></link>
			<title>Didactic knowledge or Clinical Cases? How Data Types Shape Medical Large Language Models</title>
			<pubDate><![CDATA[Wed, 23 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/xeno-interpretability-investigating-the-alien-minds-of-llms/]]></guid>
			<link><![CDATA[https://theaitoday.com/xeno-interpretability-investigating-the-alien-minds-of-llms/]]></link>
			<title>Xeno-Interpretability: Investigating the Alien Minds of LLMs</title>
			<pubDate><![CDATA[Wed, 23 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/large-language-model-agents-for-evidence-based-genetic-disease-severity-classification/]]></guid>
			<link><![CDATA[https://theaitoday.com/large-language-model-agents-for-evidence-based-genetic-disease-severity-classification/]]></link>
			<title>Large Language Model Agents for Evidence Based Genetic Disease Severity Classification</title>
			<pubDate><![CDATA[Mon, 21 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/cipl-a-channel-aware-framework-for-recoverable-privacy-leakage-in-llm-agents/]]></guid>
			<link><![CDATA[https://theaitoday.com/cipl-a-channel-aware-framework-for-recoverable-privacy-leakage-in-llm-agents/]]></link>
			<title>CIPL: A Channel-Aware Framework for Recoverable Privacy Leakage in LLM Agents</title>
			<pubDate><![CDATA[Mon, 21 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/termon-detecting-persistent-behavioral-threats-in-edge-ai-via-hardware-native-ternary-runtime-monitor/]]></guid>
			<link><![CDATA[https://theaitoday.com/termon-detecting-persistent-behavioral-threats-in-edge-ai-via-hardware-native-ternary-runtime-monitor/]]></link>
			<title>TERMon: Detecting Persistent Behavioral Threats in Edge AI via Hardware-Native Ternary Runtime Monitor</title>
			<pubDate><![CDATA[Mon, 21 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/pace-precise-ai-cinematic-expression/]]></guid>
			<link><![CDATA[https://theaitoday.com/pace-precise-ai-cinematic-expression/]]></link>
			<title>PACE: Precise AI Cinematic Expression</title>
			<pubDate><![CDATA[Mon, 21 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/rbs-attention-radius-bounded-sparse-prefill-for-long-context-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/rbs-attention-radius-bounded-sparse-prefill-for-long-context-large-language-models/]]></link>
			<title>RBS-Attention: Radius-Bounded Sparse Prefill for Long-Context Large Language Models</title>
			<pubDate><![CDATA[Mon, 21 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/bayesian-bilevel-operator-learning-with-low-rank-adaptation-for-efficient-uncertainty-quantification-of-pde-inverse-problems/]]></guid>
			<link><![CDATA[https://theaitoday.com/bayesian-bilevel-operator-learning-with-low-rank-adaptation-for-efficient-uncertainty-quantification-of-pde-inverse-problems/]]></link>
			<title>Bayesian bilevel operator learning with low-rank adaptation for efficient uncertainty quantification of PDE inverse problems</title>
			<pubDate><![CDATA[Sat, 19 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/cswam-better-causal-semantic-representations-for-out-of-distribution-generalization-in-world-action-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/cswam-better-causal-semantic-representations-for-out-of-distribution-generalization-in-world-action-models/]]></link>
			<title>CSWAM: Better Causal Semantic Representations for Out-of-Distribution Generalization in World Action Models</title>
			<pubDate><![CDATA[Fri, 18 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/adarepair-mem-adaptive-experience-orchestration-for-repository-level-program-repair/]]></guid>
			<link><![CDATA[https://theaitoday.com/adarepair-mem-adaptive-experience-orchestration-for-repository-level-program-repair/]]></link>
			<title>AdaRepair-Mem: Adaptive Experience Orchestration for Repository-Level Program Repair</title>
			<pubDate><![CDATA[Fri, 18 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/cross-modal-attention-acts-as-a-frequency-filter-why-verbose-prompts-improve-robustness-in-vision-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/cross-modal-attention-acts-as-a-frequency-filter-why-verbose-prompts-improve-robustness-in-vision-language-models/]]></link>
			<title>Cross-Modal Attention Acts as a Frequency Filter: Why Verbose Prompts Improve Robustness in Vision-Language Models</title>
			<pubDate><![CDATA[Fri, 18 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
				</channel>
</rss>
