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Reframing Long-Tailed Learning via Loss Landscape Geometry
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A Large-Scale Remote Sensing Dataset and VLM-based Algorithm for Fine-Grained Road Hierarchy Classification
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Does AI Homogenize Student Thinking? A Multi-Dimensional Analysis of Structural Convergence in AI-Augmented Essays
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Plant Taxonomy Meets Plant Counting: A Fine-Grained, Taxonomic Dataset for Counting Hundreds of Plant Species
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When Convenience Becomes Risk: A Semantic View of Under-Specification in Host-Acting Agents
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QMoP: Query Guided Mixture-of-Projector for Efficient Visual Token Compression
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DepthTCM: High Efficient Depth Compression via Physics-aware Transformer-CNN Mixed Architecture
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Enhancing Brain Tumor Classification Using Vision Transformers with Colormap-Based Feature Representation on BRISC2025 Dataset
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Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data
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Does Mechanistic Interpretability Transfer Across Data Modalities? A Cross-Domain Causal Circuit Analysis of Variational Autoencoders
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ConsRoute:Consistency-Aware Adaptive Query Routing for Cloud-Edge-Device Large Language Models
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Amortized Variational Inference for Logistic Regression with Missing Covariates
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CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection
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Accelerate Vector Diffusion Maps by Landmarks
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Graph Fusion Across Languages using Large Language Models
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Demystifying Low-Rank Knowledge Distillation in Large Language Models: Convergence, Generalization, and Information-Theoretic Guarantees
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Graph of States: Solving Abductive Tasks with Large Language Models
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The Library Theorem: How External Organization Governs Agentic Reasoning Capacity
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Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
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Conversation Tree Architecture: A Structured Framework for Context-Aware Multi-Branch LLM Conversations
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WARBENCH: A Comprehensive Benchmark for Evaluating LLMs in Military Decision-Making
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Fusing Memory and Attention: A study on LSTM, Transformer and Hybrid Architectures for Symbolic Music Generation
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Sonny: Breaking the Compute Wall in Medium-Range Weather Forecasting
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Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting
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When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning
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Closed-form conditional diffusion models for data assimilation
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Text-Image Conditioned 3D Generation
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DeepXplain: XAI-Guided Autonomous Defense Against Multi-Stage APT Campaigns
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More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection
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Identity-Consistent Video Generation under Large Facial-Angle Variations
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The Average Relative Entropy and Transpilation Depth determines the noise robustness in Variational Quantum Classifiers
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Enhancing reasoning accuracy in large language models during inference time
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F4Splat: Feed-Forward Predictive Densification for Feed-Forward 3D Gaussian Splatting
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Privacy-Preserving Federated Action Recognition via Differentially Private Selective Tuning and Efficient Communication
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Direct Interval Propagation Methods using Neural-Network Surrogates for Uncertainty Quantification in Physical Systems Surrogate Model
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Test-Time Adaptation via Cache Personalization for Facial Expression Recognition in Videos
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FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models
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HELIX: Scaling Raw Audio Understanding with Hybrid Mamba-Attention Beyond the Quadratic Limit
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Bridging neuroscience and AI: adaptive, culturally sensitive technologies transforming aphasia rehabilitation
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Stream separation improves Bregman conditioning in transformers
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Active Inference Agency Formalization, Metrics, and Convergence Assessments
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Improving Coherence and Persistence in Agentic AI for System Optimization
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Which Alert Removals are Beneficial?
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B-jet Tagging Using a Hybrid Edge Convolution and Transformer Architecture
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KHMP: Frequency-Domain Kalman Refinement for High-Fidelity Human Motion Prediction
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COINBench: Moving Beyond Individual Perspectives to Collective Intent Understanding
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FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
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AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search
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EmoTaG: Emotion-Aware Talking Head Synthesis on Gaussian Splatting with Few-Shot Personalization
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TimeTox: An LLM-Based Pipeline for Automated Extraction of Time Toxicity from Clinical Trial Protocols
