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Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design
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Fine-Tuning A Large Language Model for Systematic Review Screening
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DRoPS: Dynamic 3D Reconstruction of Pre-Scanned Objects
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Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
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From Untestable to Testable: Metamorphic Testing in the Age of LLMs
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AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A
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Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback
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ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing
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Local learning for stable backpropagation-free neural network training towards physical learning
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AVControl: Efficient Framework for Training Audio-Visual Controls
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Enhancing Structured Meaning Representations with Aspect Classification
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Calibri: Enhancing Diffusion Transformers via Parameter-Efficient Calibration
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Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis
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GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining
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FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions
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Attention-based Pin Site Image Classification in Orthopaedic Patients with External Fixators
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PhyDCM: A Reproducible Open-Source Framework for AI-Assisted Brain Tumor Classification from Multi-Sequence MRI
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Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
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Learning From Developers: Towards Reliable Patch Validation at Scale for Linux
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Synthetic Rewriting as a Quality Multiplier: Evidence from Portuguese Continued Pretraining
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HASS: Hierarchical Simulation of Logopenic Aphasic Speech for Scalable PPA Detection
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A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study
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Flow matching on homogeneous spaces
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DCARL: A Divide-and-Conquer Framework for Autoregressive Long-Trajectory Video Generation
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WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching
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Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
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Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
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Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints
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NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders
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CORA: A Pathology Synthesis Driven Foundation Model for Coronary CT Angiography Analysis and MACE Risk Assessment
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Gaze patterns predict preference and confidence in pairwise AI image evaluation
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Towards automatic smoke detector inspection: Recognition of the smoke detectors in industrial facilities and preparation for future drone integration
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Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
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SentinelAI: A Multi-Agent Framework for Structuring and Linking NG9-1-1 Emergency Incident Data
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AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective
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How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning
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OptiSAR-Net++: A Large-Scale Benchmark and Transformer-Free Framework for Cross-Domain Remote Sensing Visual Grounding
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More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes
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Learning to Staff: Offline Reinforcement Learning and Fine-Tuned LLMs for Warehouse Staffing Optimization
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Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
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Benchmarking Multi-Agent LLM Architectures for Financial Document Processing: A Comparative Study of Orchestration Patterns, Cost-Accuracy Tradeoffs and Production Scaling Strategies
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Generalizing Dynamics Modeling More Easily from Representation Perspective
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Large-Scale Avalanche Mapping from SAR Images with Deep Learning-based Change Detection
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Bounding Box Anomaly Scoring for simple and efficient Out-of-Distribution detection
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Improving LLM Predictions via Inter-Layer Structural Encoders
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Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography
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MuQ-Eval: An Open-Source Per-Sample Quality Metric for AI Music Generation Evaluation
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GeoTikzBridge: Advancing Multimodal Code Generation for Geometric Perception and Reasoning
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Think 360°: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth
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WiFi2Cap: Semantic Action Captioning from Wi-Fi CSI via Limb-Level Semantic Alignment
