https://validator.w3.org/feed/docs/rss2.html AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment Sessa: Selective State Space Attention On Solving the Multiple Variable Gapped Longest Common Subsequence Problem Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration Mechanisms of Prompt-Induced Hallucination in Vision-Language Models SatBLIP: Context Understanding and Feature Identification from Satellite Imagery with Vision-Language Learning Robust Synchronisation for Federated Learning in The Face of Correlated Device Failure Dual-Modal Lung Cancer AI: Interpretable Radiology and Microscopy with Clinical Risk Integration UniDoc-RL: Coarse-to-Fine Visual RAG with Hierarchical Actions and Dense Rewards Towards Autonomous Mechanistic Reasoning in Virtual Cells PromptEcho: Annotation-Free Reward from Vision-Language Models for Text-to-Image Reinforcement Learning DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI ChemAmp: Amplified Chemistry Tools via Composable Agents VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation Targeted Exploration via Unified Entropy Control for Reinforcement Learning GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology CodeTracer: Towards Traceable Agent States Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap BAGEL: Benchmarking Animal Knowledge Expertise in Language Models FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction Variance Computation for Weighted Model Counting with Knowledge Compilation Approach Three Roles, One Model: Role Orchestration at Inference Time to Close the Performance Gap Between Small and Large Agents ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection Rhetorical Questions in LLM Representations: A Linear Probing Study AI economics for the common good Enhancing success rates in therapeutic antibody design through generative models A multi-task learning approach combining regression and classification tasks for joint feature selection Network ontology transcript annotation identifies genetic signals underlying sex determination Decoding the language of messenger RNA DeepGreen: a real-time deep learning system for smart agriculture monitoring Orthrus: toward evolutionary and functional RNA foundation models CLEAR-IT, a framework for contrastive learning to capture the immune composition of tumor microenvironments SpatialCOC: an integrative framework for spatial continuous mapping and cross-omics correction in spatial multi-omics data End-to-end pipeline for automated heart failure diagnosis with clinical notes using SNOMED-CT Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems Dozens of AI disease-prediction models were trained on dubious data Evaluating Supervised Machine Learning Models: Principles, Pitfalls, and Metric Selection A deep learning–based digital biopsy for predicting early recurrence in gastric cancer Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe TInR: Exploring Tool-Internalized Reasoning in Large Language Models Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series Exploration and Exploitation Errors Are Measurable for Language Model Agents