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			<guid><![CDATA[https://theaitoday.com/reference-sampled-boltzmann-projection-for-kl-regularized-rlvr-target-matched-weighted-sft-finite-one-shot-gaps-and-policy-mirror-descent/]]></guid>
			<link><![CDATA[https://theaitoday.com/reference-sampled-boltzmann-projection-for-kl-regularized-rlvr-target-matched-weighted-sft-finite-one-shot-gaps-and-policy-mirror-descent/]]></link>
			<title>Reference-Sampled Boltzmann Projection for KL-Regularized RLVR: Target-Matched Weighted SFT, Finite One-Shot Gaps, and Policy Mirror Descent</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://theaitoday.com/core-halo-decomposition-decentralizing-large-scale-fixed-point-problems/]]></guid>
			<link><![CDATA[https://theaitoday.com/core-halo-decomposition-decentralizing-large-scale-fixed-point-problems/]]></link>
			<title>Core-Halo Decomposition: Decentralizing Large-Scale Fixed-Point Problems</title>
			<pubDate><![CDATA[Tue, 12 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/asymtalker-identity-consistent-long-term-talking-head-generation-via-asymmetric-distillation/]]></guid>
			<link><![CDATA[https://theaitoday.com/asymtalker-identity-consistent-long-term-talking-head-generation-via-asymmetric-distillation/]]></link>
			<title>AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation</title>
			<pubDate><![CDATA[Tue, 12 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/reusability-report-meta-learning-for-antigen-specific-t-cell-receptor-binder-identification/]]></guid>
			<link><![CDATA[https://theaitoday.com/reusability-report-meta-learning-for-antigen-specific-t-cell-receptor-binder-identification/]]></link>
			<title>Reusability report: Meta-learning for antigen-specific T cell receptor binder identification</title>
			<pubDate><![CDATA[Wed, 06 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/governing-ai-assisted-security-operations-a-design-science-framework-for-operational-decision-support/]]></guid>
			<link><![CDATA[https://theaitoday.com/governing-ai-assisted-security-operations-a-design-science-framework-for-operational-decision-support/]]></link>
			<title>Governing AI-Assisted Security Operations: A Design Science Framework for Operational Decision Support</title>
			<pubDate><![CDATA[Tue, 12 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/one-token-per-frame-reconsidering-visual-bandwidth-in-world-models-for-vla-policy/]]></guid>
			<link><![CDATA[https://theaitoday.com/one-token-per-frame-reconsidering-visual-bandwidth-in-world-models-for-vla-policy/]]></link>
			<title>One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA Policy</title>
			<pubDate><![CDATA[Tue, 12 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/operating-within-the-operational-design-domain-zero-shot-perception-with-vision-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/operating-within-the-operational-design-domain-zero-shot-perception-with-vision-language-models/]]></link>
			<title>Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models</title>
			<pubDate><![CDATA[Tue, 12 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/towards-billion-scale-multi-modal-biometric-search/]]></guid>
			<link><![CDATA[https://theaitoday.com/towards-billion-scale-multi-modal-biometric-search/]]></link>
			<title>Towards Billion-scale Multi-modal Biometric Search</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/a-fully-automated-framework-for-acoustic-identification-and-localization-of-terrestrial-wildlife-at-scale/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-fully-automated-framework-for-acoustic-identification-and-localization-of-terrestrial-wildlife-at-scale/]]></link>
			<title>A fully automated framework for acoustic identification and localization of terrestrial wildlife at scale</title>
			<pubDate><![CDATA[Sat, 09 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/asymmetric-on-policy-distillation-bridging-exploitation-and-imitation-at-the-token-level/]]></guid>
			<link><![CDATA[https://theaitoday.com/asymmetric-on-policy-distillation-bridging-exploitation-and-imitation-at-the-token-level/]]></link>
			<title>Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/the-endogeneity-of-miscalibration-impossibility-and-escape-in-scored-reporting/]]></guid>
			<link><![CDATA[https://theaitoday.com/the-endogeneity-of-miscalibration-impossibility-and-escape-in-scored-reporting/]]></link>
			<title>The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/ai-cfd-scientist-toward-open-ended-computational-fluid-dynamics-discovery-with-physics-aware-ai-agents/]]></guid>
			<link><![CDATA[https://theaitoday.com/ai-cfd-scientist-toward-open-ended-computational-fluid-dynamics-discovery-with-physics-aware-ai-agents/]]></link>
			<title>AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/graphdc-a-divide-and-conquer-multi-agent-system-for-scalable-graph-algorithm-reasoning/]]></guid>
			<link><![CDATA[https://theaitoday.com/graphdc-a-divide-and-conquer-multi-agent-system-for-scalable-graph-algorithm-reasoning/]]></link>
			<title>GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/the-edelta-mhc-geo-transformer-adaptive-geodesic-operations-with-guaranteed-orthogonality/]]></guid>
			<link><![CDATA[https://theaitoday.com/the-edelta-mhc-geo-transformer-adaptive-geodesic-operations-with-guaranteed-orthogonality/]]></link>
			<title>The E$Delta$-MHC-Geo Transformer: Adaptive Geodesic Operations with Guaranteed Orthogonality</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/gradient-extrapolation-based-policy-optimization/]]></guid>
			<link><![CDATA[https://theaitoday.com/gradient-extrapolation-based-policy-optimization/]]></link>
			<title>Gradient Extrapolation-Based Policy Optimization</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/rubric-grounded-rl-structured-judge-rewards-for-generalizable-reasoning/]]></guid>
			<link><![CDATA[https://theaitoday.com/rubric-grounded-rl-structured-judge-rewards-for-generalizable-reasoning/]]></link>
			<title>Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/tacit-knowledge-extraction-via-logic-augmented-generation-and-active-inference/]]></guid>
			<link><![CDATA[https://theaitoday.com/tacit-knowledge-extraction-via-logic-augmented-generation-and-active-inference/]]></link>
			<title>Tacit Knowledge Extraction via Logic Augmented Generation and Active Inference</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/structured-progressive-knowledge-activation-for-llm-driven-neural-architecture-search/]]></guid>
			<link><![CDATA[https://theaitoday.com/structured-progressive-knowledge-activation-for-llm-driven-neural-architecture-search/]]></link>
			<title>Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search</title>
			<pubDate><![CDATA[Fri, 08 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/schedule-and-calibrate-utility-guided-multi-task-reinforcement-learning-for-code-llms/]]></guid>
			<link><![CDATA[https://theaitoday.com/schedule-and-calibrate-utility-guided-multi-task-reinforcement-learning-for-code-llms/]]></link>
			<title>Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs</title>
			<pubDate><![CDATA[Fri, 08 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/dynamic-pondering-sparsity-aware-mixture-of-experts-transformer-for-event-stream-based-visual-object-tracking/]]></guid>
			<link><![CDATA[https://theaitoday.com/dynamic-pondering-sparsity-aware-mixture-of-experts-transformer-for-event-stream-based-visual-object-tracking/]]></link>
			<title>Dynamic Pondering Sparsity-aware Mixture-of-Experts Transformer for Event Stream based Visual Object Tracking</title>
			<pubDate><![CDATA[Fri, 08 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/continual-knowledge-updating-in-llm-systems-learning-through-multi-timescale-memory-dynamics/]]></guid>
			<link><![CDATA[https://theaitoday.com/continual-knowledge-updating-in-llm-systems-learning-through-multi-timescale-memory-dynamics/]]></link>
			<title>Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics</title>
			<pubDate><![CDATA[Fri, 08 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/understanding-annotator-safety-policy-with-interpretability/]]></guid>
			<link><![CDATA[https://theaitoday.com/understanding-annotator-safety-policy-with-interpretability/]]></link>
			<title>Understanding Annotator Safety Policy with Interpretability</title>
			<pubDate><![CDATA[Fri, 08 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/rna-design-across-eras-from-covariance-models-to-modern-generative-ai/]]></guid>
			<link><![CDATA[https://theaitoday.com/rna-design-across-eras-from-covariance-models-to-modern-generative-ai/]]></link>
			<title>RNA design across eras: from covariance models to modern generative AI</title>
			<pubDate><![CDATA[Fri, 08 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/ai-inference-as-relocatable-electricity-demand-a-latency-constrained-energy-geography-framework/]]></guid>
			<link><![CDATA[https://theaitoday.com/ai-inference-as-relocatable-electricity-demand-a-latency-constrained-energy-geography-framework/]]></link>
			<title>AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/the-single-file-test-a-longitudinal-public-interface-evaluation-of-first-output-llm-web-generation-with-social-reach-tracking/]]></guid>
			<link><![CDATA[https://theaitoday.com/the-single-file-test-a-longitudinal-public-interface-evaluation-of-first-output-llm-web-generation-with-social-reach-tracking/]]></link>
			<title>The Single-File Test: A Longitudinal Public-Interface Evaluation of First-Output LLM Web Generation with Social Reach Tracking</title>
			<pubDate><![CDATA[Mon, 11 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/decoupled-guidance-diffusion-for-adaptive-offline-safe-reinforcement-learning/]]></guid>
			<link><![CDATA[https://theaitoday.com/decoupled-guidance-diffusion-for-adaptive-offline-safe-reinforcement-learning/]]></link>
			<title>Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/social-bias-in-llm-generated-code-benchmark-and-mitigation/]]></guid>
			<link><![CDATA[https://theaitoday.com/social-bias-in-llm-generated-code-benchmark-and-mitigation/]]></link>
			<title>Social Bias in LLM-Generated Code: Benchmark and Mitigation</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/revisiting-graph-tokenizing-large-language-models-a-systematic-evaluation-of-graph-token-understanding/]]></guid>
			<link><![CDATA[https://theaitoday.com/revisiting-graph-tokenizing-large-language-models-a-systematic-evaluation-of-graph-token-understanding/]]></link>
			<title>Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/enhancing-judgment-document-generation-via-agentic-legal-information-collection-and-rubric-guided-optimization/]]></guid>
			<link><![CDATA[https://theaitoday.com/enhancing-judgment-document-generation-via-agentic-legal-information-collection-and-rubric-guided-optimization/]]></link>
			<title>Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/creativitybench-evaluating-agent-creative-reasoning-via-affordance-based-tool-repurposing/]]></guid>
			<link><![CDATA[https://theaitoday.com/creativitybench-evaluating-agent-creative-reasoning-via-affordance-based-tool-repurposing/]]></link>
			<title>CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/conventional-commit-classification-using-large-language-models-and-prompt-engineering/]]></guid>
			<link><![CDATA[https://theaitoday.com/conventional-commit-classification-using-large-language-models-and-prompt-engineering/]]></link>
			<title>Conventional Commit Classification using Large Language Models and Prompt Engineering</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/silicon-showdown-performance-efficiency-and-ecosystem-barriers-in-consumer-grade-llm-inference/]]></guid>
			<link><![CDATA[https://theaitoday.com/silicon-showdown-performance-efficiency-and-ecosystem-barriers-in-consumer-grade-llm-inference/]]></link>
			<title>Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/2026-roadmap-on-artificial-intelligence-and-machine-learning-for-smart-manufacturing/]]></guid>
			<link><![CDATA[https://theaitoday.com/2026-roadmap-on-artificial-intelligence-and-machine-learning-for-smart-manufacturing/]]></link>
			<title>2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/unsupervised-learning-of-robust-spectral-shape-matching/]]></guid>
			<link><![CDATA[https://theaitoday.com/unsupervised-learning-of-robust-spectral-shape-matching/]]></link>
			<title>Unsupervised Learning of Robust Spectral Shape Matching</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/iconface-identity-structure-asymmetric-conditioning-for-unified-reference-aware-face-restoration/]]></guid>
			<link><![CDATA[https://theaitoday.com/iconface-identity-structure-asymmetric-conditioning-for-unified-reference-aware-face-restoration/]]></link>
			<title>IConFace: Identity-Structure Asymmetric Conditioning for Unified Reference-Aware Face Restoration</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/vero-an-evaluation-harness-for-agents-to-optimize-agents/]]></guid>
			<link><![CDATA[https://theaitoday.com/vero-an-evaluation-harness-for-agents-to-optimize-agents/]]></link>
			<title>VeRO: An Evaluation Harness for Agents to Optimize Agents</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/boundary-mass-and-the-soft-to-hard-limit-in-mixture-of-experts/]]></guid>
			<link><![CDATA[https://theaitoday.com/boundary-mass-and-the-soft-to-hard-limit-in-mixture-of-experts/]]></link>
			<title>Boundary Mass and the Soft-to-Hard Limit in Mixture-of-Experts</title>
			<pubDate><![CDATA[Wed, 06 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/from-intent-to-execution-composing-agentic-workflows-with-agent-recommendation/]]></guid>
			<link><![CDATA[https://theaitoday.com/from-intent-to-execution-composing-agentic-workflows-with-agent-recommendation/]]></link>
			<title>From Intent to Execution: Composing Agentic Workflows with Agent Recommendation</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/agentic-imodels-evolving-agentic-interpretability-tools-via-autoresearch/]]></guid>
			<link><![CDATA[https://theaitoday.com/agentic-imodels-evolving-agentic-interpretability-tools-via-autoresearch/]]></link>
			<title>Agentic-imodels: Evolving agentic interpretability tools via autoresearch</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/quantifying-the-human-visual-exposome-with-vision-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/quantifying-the-human-visual-exposome-with-vision-language-models/]]></link>
			<title>Quantifying the human visual exposome with vision language models</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/self-improvement-for-fast-high-quality-plan-generation/]]></guid>
			<link><![CDATA[https://theaitoday.com/self-improvement-for-fast-high-quality-plan-generation/]]></link>
			<title>Self-Improvement for Fast, High-Quality Plan Generation</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/oracleproto-a-reproducible-framework-for-benchmarking-llm-native-forecasting-via-knowledge-cutoff-and-temporal-masking/]]></guid>
			<link><![CDATA[https://theaitoday.com/oracleproto-a-reproducible-framework-for-benchmarking-llm-native-forecasting-via-knowledge-cutoff-and-temporal-masking/]]></link>
			<title>OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/artificial-intelligence-for-predicting-transient-hypocalcemia-after-total-thyroidectomy/]]></guid>
			<link><![CDATA[https://theaitoday.com/artificial-intelligence-for-predicting-transient-hypocalcemia-after-total-thyroidectomy/]]></link>
			<title>Artificial intelligence for predicting transient hypocalcemia after total thyroidectomy</title>
			<pubDate><![CDATA[Thu, 07 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/learning-the-chemical-language-of-natural-products/]]></guid>
			<link><![CDATA[https://theaitoday.com/learning-the-chemical-language-of-natural-products/]]></link>
			<title>Learning the chemical language of natural products</title>
			<pubDate><![CDATA[Thu, 07 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/platonic-representation-of-foundation-machine-learning-interatomic-potentials/]]></guid>
			<link><![CDATA[https://theaitoday.com/platonic-representation-of-foundation-machine-learning-interatomic-potentials/]]></link>
			<title>Platonic representation of foundation machine learning interatomic potentials</title>
			<pubDate><![CDATA[Thu, 07 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/adamezo-adam-style-zeroth-order-optimizer-for-llm-fine-tuning-without-maintaining-the-moments/]]></guid>
			<link><![CDATA[https://theaitoday.com/adamezo-adam-style-zeroth-order-optimizer-for-llm-fine-tuning-without-maintaining-the-moments/]]></link>
			<title>AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/parametrizing-convex-sets-using-sublinear-neural-networks/]]></guid>
			<link><![CDATA[https://theaitoday.com/parametrizing-convex-sets-using-sublinear-neural-networks/]]></link>
			<title>Parametrizing Convex Sets Using Sublinear Neural Networks</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/reinforcement-learning-with-markov-risk-measures-and-multipattern-risk-approximation/]]></guid>
			<link><![CDATA[https://theaitoday.com/reinforcement-learning-with-markov-risk-measures-and-multipattern-risk-approximation/]]></link>
			<title>Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/claw-eval-live-a-live-agent-benchmark-for-evolving-real-world-workflows/]]></guid>
			<link><![CDATA[https://theaitoday.com/claw-eval-live-a-live-agent-benchmark-for-evolving-real-world-workflows/]]></link>
			<title>Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows</title>
			<pubDate><![CDATA[Tue, 05 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/speckv-adaptive-speculative-decoding-with-compression-aware-gamma-selection/]]></guid>
			<link><![CDATA[https://theaitoday.com/speckv-adaptive-speculative-decoding-with-compression-aware-gamma-selection/]]></link>
			<title>SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection</title>
			<pubDate><![CDATA[Thu, 07 May 2026 04:00:00 +0000]]></pubDate>
		</item>
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