Papers
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A Blueprint for Self-Evolving Coding Agents in Vehicle Aerodynamic Drag Prediction
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PPGL-Swarm: Integrated Multimodal Risk Stratification and Hereditary Syndrome Detection in Pheochromocytoma and Paraganglioma
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Rethinking Token Reduction for Large Vision-Language Models
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Data-Free Layer-Adaptive Merging via Fisher Information for Long-to-Short Reasoning LLMs
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Compensating Visual Insufficiency with Stratified Language Guidance for Long-Tail Class Incremental Learning
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When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?
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Uncertainty Quantification for Distribution-to-Distribution Flow Matching in Scientific Imaging
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Probing How Scalable Table Data Enhances General Long-Context Reasoning
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SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
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FISformer: Replacing Self-Attention with a Fuzzy Inference System in Transformer Models for Time Series Forecasting
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CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
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Three Creates All: You Only Sample 3 Steps
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EvoIdeator: Evolving Scientific Ideas through Checklist-Grounded Reinforcement Learning
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Cognitive Agency Surrender: Defending Epistemic Sovereignty via Scaffolded AI Friction
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The Reasoning Error About Reasoning: Why Different Types of Reasoning Require Different Representational Structures
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AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access
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CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning
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The Presupposition Problem in Representation Genesis
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Getting to the Point: Why Pointing Improves LVLMs
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Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
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Identifiability and amortized inference limitations in Kuramoto models
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Let's Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
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Cycle Inverse-Consistent TransMorph: A Balanced Deep Learning Framework for Brain MRI Registration
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Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors
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Abnormalities and Disease Detection in Gastro-Intestinal Tract Images
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Cluster-Specific Predictive Modeling: A Scalable Solution for Resource-Constrained Wi-Fi Controllers
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Show Me What You Don't Know: Efficient Sampling from Invariant Sets for Model Validation
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SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis
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Dynamic Exposure Burst Image Restoration
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Image-Conditioned Adaptive Parameter Tuning for Visual Odometry Frontends
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The Universal Normal Embedding
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Benchmarking Recurrent Event-Based Object Detection for Industrial Multi-Class Recognition on MTEvent
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Timing In stand-up Comedy: Text, Audio, Laughter, Kinesics (TIC-TALK): Pipeline and Database for the Multimodal Study of Comedic Timing
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Anatomical Token Uncertainty for Transformer-Guided Active MRI Acquisition
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Cascade-Free Mandarin Visual Speech Recognition via Semantic-Guided Cross-Representation Alignment
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Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction
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Ctrl-A: Control-Driven Online Data Augmentation
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Beyond Strict Pairing: Arbitrarily Paired Training for High-Performance Infrared and Visible Image Fusion
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Politics of Questions in News: A Mixed-Methods Study of Interrogative Stances as Markers of Voice and Power
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SteelDefectX: A Coarse-to-Fine Vision-Language Dataset and Benchmark for Generalizable Steel Surface Defect Detection
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BadminSense: Enabling Fine-Grained Badminton Stroke Evaluation on a Single Smartwatch
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CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
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Multi-View Deformable Convolution Meets Visual Mamba for Coronary Artery Segmentation
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Deriving Health Metrics from the Photoplethysmogram: Benchmarks and Insights from MIMIC-III-Ext-PPG
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Instruction Set and Language for Symbolic Regression
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Select, Label, Evaluate: Active Testing in NLP
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On the Number of Conditional Independence Tests in Constraint-based Causal Discovery
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Agentic Personas for Adaptive Scientific Explanations with Knowledge Graphs
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Riding Brainwaves in LLM Space: Understanding Activation Patterns Using Individual Neural Signatures
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All elementary functions from a single binary operator
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