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Showing 4976–5000 of 661570 papers

TitleStatusHype
LTGS: Long-Term Gaussian Scene Chronology From Sparse View Updates—0
MARIS: Marine Open-Vocabulary Instance Segmentation with Geometric Enhancement and Semantic Alignment—0
Unbiased Object Detection Beyond Frequency with Visually Prompted Image Synthesis—0
PREFINE: Personalized Story Generation via Simulated User Critics and User-Specific Rubric Generation—0
Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs—0
TAUE: Training-free Noise Transplant and Cultivation Diffusion Model—0
DKDS: A Benchmark Dataset of Degraded Kuzushiji Documents with Seals for Detection and Binarization—0
SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition—0
AIA: Rethinking Architecture Decoupling Strategy In Unified Multimodal Model—1
Long-LRM++: Preserving Fine Details in Feed-Forward Wide-Coverage Reconstruction—0
COREA: Coupled Relightable 3D Gaussians and SDFs for Efficient Normal Alignment—1
Vision-Language Models for Infrared Industrial Sensing in Additive Manufacturing Scene Description—0
DefVINS: Visual-Inertial Odometry for Deformable Scenes—0
Can Multimodal LLMs See Science Instruction? Benchmarking Pedagogical Reasoning in K-12 Classroom Videos—0
CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis—0
Tau-BNO: Brain Neural Operator for Tau Transport Model—0
A Survey of Reinforcement Learning For Economics—0
EmoStory: Emotion-Aware Story Generation—0
Relaxed Efficient Acquisition of Context and Temporal Features—0
Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks—0
APEX-Searcher: Augmenting LLMs' Search Capabilities through Agentic Planning and Execution—0
DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization—0
Make it SING: Analyzing Semantic Invariants in Classifiers—0
Topology-Preserving Data Augmentation for Ring-Type Polygon Annotations—0
Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations—0
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