Review

[논문리뷰] The Collapse of Patches

Weidong Cai이 arXiv에 게시한 'The Collapse of Patches' 논문에 대한 자세한 리뷰입니다.

#Review #Patch Collapse #Image Generation #Image Classification #Masked Image Modeling #Vision Transformers #PageRank #Uncertainty Reduction #Computational Efficiency

2025년 11월 30일

[논문리뷰] Test-time scaling of diffusions with flow maps

Sanja Fidler이 arXiv에 게시한 'Test-time scaling of diffusions with flow maps' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Flow Maps #Test-time Adaptation #Reward Guidance #Generative Models #SMC #Vision-Language Models

2025년 11월 30일

[논문리뷰] SO-Bench: A Structural Output Evaluation of Multimodal LLMs

arXiv에 게시된 'SO-Bench: A Structural Output Evaluation of Multimodal LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLMs #Structural Output #Information Extraction #JSON Schema #SO-Bench #Visual Reasoning #Supervised Fine-tuning #Reinforcement Learning

2025년 11월 30일

[논문리뷰] RefineBench: Evaluating Refinement Capability of Language Models via Checklists

arXiv에 게시된 'RefineBench: Evaluating Refinement Capability of Language Models via Checklists' 논문에 대한 자세한 리뷰입니다.

#Review #Language Models #Refinement Capability #Self-Refinement #Guided Refinement #Checklist Evaluation #Multi-turn Interaction #Benchmark

2025년 11월 30일

[논문리뷰] Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models

Yehudit Aperstein이 arXiv에 게시한 'Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models' 논문에 대한 자세한 리뷰입니다.

#Review #Anomaly Detection #Surveillance Videos #Weakly Supervised Learning #Multiple Instance Learning #Dual-Encoder #I3D #TimeSformer #Top-k Pooling

2025년 11월 30일

[논문리뷰] REASONEDIT: Towards Reasoning-Enhanced Image Editing Models

arXiv에 게시된 'REASONEDIT: Towards Reasoning-Enhanced Image Editing Models' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Reasoning-Enhanced AI #Multimodal Large Language Models #Diffusion Transformers #Thinking #Reflection #Iterative Refinement #Instruction Following

2025년 11월 30일

[논문리뷰] OralGPT-Omni: A Versatile Dental Multimodal Large Language Model

arXiv에 게시된 'OralGPT-Omni: A Versatile Dental Multimodal Large Language Model' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Large Language Model (MLLM)#Dental Imaging Analysis #Chain-of-Thought (CoT) Reasoning #Medical AI #Benchmark #Diagnosis #Oral Healthcare #Explainable AI

2025년 11월 30일

[논문리뷰] OmniRefiner: Reinforcement-Guided Local Diffusion Refinement

Yiren Song이 arXiv에 게시한 'OmniRefiner: Reinforcement-Guided Local Diffusion Refinement' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Image Refinement #Reinforcement Learning #Fine-Grained Editing #Reference-Guided Generation #Latent Diffusion #Visual Fidelity #Detail Restoration

2025년 11월 30일

[논문리뷰] Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models

arXiv에 게시된 'Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Small Language Models (SLMs)#Latency Optimization #Hybrid Architectures #Evolutionary Search #Weight Normalization #Efficient Attention #Depth-Width Ratios #Real-device Efficiency

2025년 11월 30일

[논문리뷰] MRI Super-Resolution with Deep Learning: A Comprehensive Survey

arXiv에 게시된 'MRI Super-Resolution with Deep Learning: A Comprehensive Survey' 논문에 대한 자세한 리뷰입니다.

#Review #MRI Super-Resolution #Deep Learning #Computational Imaging #Inverse Problems #Generative AI #Medical Imaging #Survey

2025년 11월 30일

[논문리뷰] Layer-Aware Video Composition via Split-then-Merge

Wen-Sheng Chu이 arXiv에 게시한 'Layer-Aware Video Composition via Split-then-Merge' 논문에 대한 자세한 리뷰입니다.

#Review #Generative Video Composition #Diffusion Models #Layer-Aware Generation #Self-Composition #Affordance Learning #Video Editing #Data Augmentation

2025년 11월 30일

[논문리뷰] Geometrically-Constrained Agent for Spatial Reasoning

Lehan He이 arXiv에 게시한 'Geometrically-Constrained Agent for Spatial Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Spatial Reasoning #Vision Language Models (VLMs)#Geometric Constraints #Agentic AI #Tool Integration #Semantic-to-Geometric Gap #Task Formalization

2025년 11월 30일

[논문리뷰] From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images

Filippos Kokkinos이 arXiv에 게시한 'From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLM #Human Cognition #Image Perception #Benchmarking #Supervised Fine-tuning #Image Generation #Aesthetics #Memorability

2025년 11월 30일

[논문리뷰] Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information

Kristian Kersting이 arXiv에 게시한 'Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Reasoning #Chain-of-Thought #Prompt Engineering #Efficiency #Structured Input #Information Extraction #Cognitive Psychology #Token Reduction

2025년 11월 30일

[논문리뷰] Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets

Avishai Weizman이 arXiv에 게시한 'Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets' 논문에 대한 자세한 리뷰입니다.

#Review #Data Leakage #Video Datasets #Clustering #Frame Selection #Deep Learning #Object Detection #Dataset Partitioning #Dimensionality Reduction

2025년 11월 30일

[논문리뷰] FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning

Simin Chen이 arXiv에 게시한 'FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Federated Learning #Model Heterogeneity #Representation Learning #Privacy Preservation #Communication Efficiency #Entangled Representation #Knowledge Transfer

2025년 11월 30일

[논문리뷰] Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration

arXiv에 게시된 'Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration' 논문에 대한 자세한 리뷰입니다.

#Review #3D Geometry Synthesis #Diffusion Models #Acceleration #Caching #Training-free #Flow Matching #Voxel Stabilization #Computational Efficiency

2025년 11월 30일

[논문리뷰] Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models

Wei Wu이 arXiv에 게시한 'Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Long Context #Sparse Attention #Hierarchical Sparse Attention (HSA)#Length Generalization #Mixture of Experts (MoE)#Transformer

2025년 11월 30일

[논문리뷰] DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action

Zhuoyang Liu이 arXiv에 게시한 'DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language-Action (VLA)#Embodied AI #Action Degeneration #Data Pruning #Knowledge Distillation #Multi-modal Reasoning #Robot Learning #VLA Score

2025년 11월 30일

[논문리뷰] DiP: Taming Diffusion Models in Pixel Space

Xu Chen이 arXiv에 게시한 'DiP: Taming Diffusion Models in Pixel Space' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Pixel Space #Latent Diffusion Models (LDMs)#Diffusion Transformer (DiT)#Patch Detailer Head #Global-Local Modeling #Computational Efficiency #ImageNet

2025년 11월 30일