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Unpaired Cross-Domain Calibration of DMSP to VIIRS Nighttime Light Data Based on CUT Network
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DermaFlux: Synthetic Skin Lesion Generation with Rectified Flows for Enhanced Image Classification
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Robust Physics-Guided Diffusion for Full-Waveform Inversion
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Fanar 2.0: Arabic Generative AI Stack
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Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization
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Near-light Photometric Stereo with Symmetric Lights
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Over-the-air White-box Attack on the Wav2Vec Speech Recognition Neural Network
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Who Benchmarks the Benchmarks? A Case Study of LLM Evaluation in Icelandic
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PlotTwist: A Creative Plot Generation Framework with Small Language Models
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RECOVER: Robust Entity Correction via agentic Orchestration of hypothesis Variants for Evidence-based Recovery
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Trained Persistent Memory for Frozen Encoder--Decoder LLMs: Six Architectural Methods
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IndexRAG: Bridging Facts for Cross-Document Reasoning at Index Time
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Via Negativa for AI Alignment: Why Negative Constraints Are Structurally Superior to Positive Preferences
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HGP-Mamba: Integrating Histology and Generated Protein Features for Mamba-based Multimodal Survival Risk Prediction
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SF-Mamba: Rethinking State Space Model for Vision
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3D Fourier-based Global Feature Extraction for Hyperspectral Image Classification
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Cross-modal learning for plankton recognition
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An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU
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LenghuSky-8: An 8-Year All-Sky Cloud Dataset with Star-Aware Masks and Alt-Az Calibration for Segmentation and Nowcasting
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EngGPT2: Sovereign, Efficient and Open Intelligence
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IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Dynamic Systems from Monocular Video
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From Natural Language to Executable Option Strategies via Large Language Models
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VQKV: High-Fidelity and High-Ratio Cache Compression via Vector-Quantization
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DISCOVER: A Solver for Distributional Counterfactual Explanations
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CD-FKD: Cross-Domain Feature Knowledge Distillation for Robust Single-Domain Generalization in Object Detection
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Capability-Guided Compression: Toward Interpretability-Aware Budget Allocation for Large Language Models
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Fast-HaMeR: Boosting Hand Mesh Reconstruction using Knowledge Distillation
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Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits
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Visual Distraction Undermines Moral Reasoning in Vision-Language Models
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Unified Removal of Raindrops and Reflections: A New Benchmark and A Novel Pipeline
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ProgressiveAvatars: Progressive Animatable 3D Gaussian Avatars
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TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas
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TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection
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RetailBench: Evaluating Long-Horizon Autonomous Decision-Making and Strategy Stability of LLM Agents in Realistic Retail Environments
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Evo-Retriever: LLM-Guided Curriculum Evolution with Viewpoint-Pathway Collaboration for Multimodal Document Retrieval
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DynHD: Hallucination Detection for Diffusion Large Language Models via Denoising Dynamics Deviation Learning
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Are a Thousand Words Better Than a Single Picture? Beyond Images -- A Framework for Multi-Modal Knowledge Graph Dataset Enrichment
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GAP-MLLM: Geometry-Aligned Pre-training for Activating 3D Spatial Perception in Multimodal Large Language Models
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Linearized Bregman Iterations for Sparse Spiking Neural Networks
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Follow the Clues, Frame the Truth: Hybrid-evidential Deductive Reasoning in Open-Vocabulary Multimodal Emotion Recognition
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Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
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The State of Generative AI in Software Development: Insights from Literature and a Developer Survey
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Breaking the Chain: A Causal Analysis of LLM Faithfulness to Intermediate Structures
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Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function
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DST-Net: A Dual-Stream Transformer with Illumination-Independent Feature Guidance and Multi-Scale Spatial Convolution for Low-Light Image Enhancement
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On the Emotion Understanding of Synthesized Speech
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Implementation of tangent linear and adjoint models for neural networks based on a compiler library tool
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Unlearning for One-Step Generative Models via Unbalanced Optimal Transport
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ExpressMind: A Multimodal Pretrained Large Language Model for Expressway Operation
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AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue Agents
