THE AI TODAY https://validator.w3.org/feed/docs/rss2.html Shared Geometry As A Rosetta Stone: Cross-Modal Alignment Without Paired Data HI3D 3.0 (Twinkle3D): Object-specific 3D Asset Generation with High Resolution Epistemic Disturbance in the Graph Model for Conflict Resolution: State-Preserving Actions, Four-Valued Assessments, and the Distinction between Capability and Intention Defensive Sufficiency in a Stackelberg Model of AI Security An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment Trust the Critic More Madeleine: Learning Involuntary Recall for Conversational Memory from Simulated Lives Does Scaling Reinforcement Learning Really Require More Training? ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents Heavy-Tailed Memory Traces in Long-Horizon Language Agents Visual Parallel Search: Learning to Search High-Resolution Images with Parallel Tile Inspection and Adaptive Zoom Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts Wavelet Flow Matching for Time Series Gender bias across LLMs is common and highly heterogeneous Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation Times are changing but order matters: transferable prediction of small-molecule liquid chromatography retention times Large language models discover complementary heuristics for combinatorial optimization ‘Vibe coding’ makes the dictionary: AI terms recognized by Merriam-Webster Shifting from knowledge retrieval to evidence exploration and synthesis Deep learning perturbation models can outperform baselines on calibrated metrics KUPAS MASTER: Distilling the Tacit Expertise of Master Practitioners into Agent-Ready Experience Corpora Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification F4R: Failure-Driven Recognition, Reconstruction, Refinement, and Redeployment for Continual Robot Self-Improvement DSWM: Decomposed Spatio-Temporal World Model for Demand-Driven UAV Base Station Repositioning On-Policy Visual Evidence Distillation TokenCast: Forecasting Token Consumption During LLM Agent Execution OpenAI-HuggingFace: A Reproduction & Lessons for Alignment Testing Accounting for Bias Enables Sustainable LLM Evaluation The Linear Representation Hypothesis for Vision-Language-Action Models VLANeXt Family: A Systematic Study of VLA Models from Core Recipes to Emerging Paradigms Beyond Forecasting: Recasting Volatility Control as a Routing Problem RAPTOR: Ridge-Adaptive Logistic Probes FLIP: Final Layer Inference-Time Probing for Vision-Language Models ArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts Improving Visual Sensitivity of LLMs on Multimodal Machine Translation with Metric-based Loss Weighting AgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User Side Physics informed machine learning predicts binding free energy changes in protein-RNA complexes upon mutations SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks Topological Signatures of Cyber-Attack Classes in Natural Visibility Graph Representations of Network Traffic Rufus-Air: An Open LLM Post-Training Recipe agentic-ger: terminology recovery in long-form speech using global context Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability Routing Anthropic’s AI biolab finds ‘CRISPR-like’ DNA in viruses. What’s next? A structure-informed deep learning framework for modeling TCR-peptide-HLA interactions QuantWM: Temporally Consistent 2-Bit KV Cache Quantization for World Models and Video Generation Hard Negatives Reveal What Easy Negatives Hide: Cross-Lingual Harmfulness Representations Degrade with Resource Tier Under Hard Negatives Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse