https://validator.w3.org/feed/docs/rss2.html Dual Adversarial Fine-tuning for Enhancing Robustness of Large Vision Language Model Now You See the Hate: Adaptive View Retrieval for Hidden Hateful Illusions SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement SalesLoop: Reinforcement Learning from Performance Feedback for Sales Lead Ranking Pushing the Frontier of Full-Song Generation: Hierarchical Autoregressive Planning Meets Flow-Matching Rendering AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics A benchmark study of vision and pathology foundation models for computational pathology Briefing Chat: Baby T. rex were killers from birth, suggest new fossils Capable language models can outgrow the benefits of collaboration Thinking and rethinking data AI readiness Alignment of a Total Automation Economy When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Markets Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents FineServe: A Fine-Grained Dataset and Characterization of Global LLM Serving Workloads ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction How Big Data and AI are revolutionizing human immunology Enhancing Rubric-based RL via Self-Distillation SysAdmin: Measuring Instrumental Power-Seeking in Frontier AI Time Series Network Utilization KPI Forecasting Using Advanced AI/ML Models DCSCR: A Class-Specific Collaborative Representation based Network for Image Set Classification Breaking the Factorization Barrier in Diffusion Language Models AI sustains higher strategic tension than humans in chess Data-driven Machine Learning Cannot Reach Symbolic-level Logical Reasoning — The Limit of the Scaling Law Uncovering Latent Reasoning Strategies in Language Models Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones When Does Muon Help Agentic Reinforcement Learning? Rater State Bias in RLHF Preference Data: An Audit Framework Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis Analysing Moral Bias in Finetuned LLMs through Mechanistic Interpretability Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research Perception-Aligned AI Outputs: End-to-End Visual Prediction for Uncertainty Communication in Clinical Decision-Making OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice Scaling Interpretable Transformers with Parity Bottleneck Layers What Models Express, Suppress, and Resist: Auditing Open-Weight LLMs with Persona Vectors SafeRelBench: A Spatial-Relation-Aware Benchmark for Process-Level Safety in VLM-Driven Embodied Agents Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models Early Adoption of Agentic Coding Tools by GitHub Projects Intelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and Rescue Bootstrapping multimodal large language model with medical knowledge for automatic esophagogastroduodenoscopy diagnosis and reporting An enzyme-specific protein language model for catalytic property prediction An AI co-scientist to accelerate biomedical research Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs OPIUM: Mitigating Steering Externalities and Over-Refusal via Dual Objective Latent Optimization