Review

[논문리뷰] ConsistEdit: Highly Consistent and Precise Training-free Visual Editing

Xili Dai이 arXiv에 게시한 'ConsistEdit: Highly Consistent and Precise Training-free Visual Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Video Editing #Diffusion Transformer #Attention Control #Training-free #Multi-modal Diffusion Transformer (MM-DiT)#Consistency Preservation

2025년 10월 21일

[논문리뷰] Chronos-2: From Univariate to Universal Forecasting

arXiv에 게시된 'Chronos-2: From Univariate to Universal Forecasting' 논문에 대한 자세한 리뷰입니다.

#Review #Time Series Forecasting #Foundation Models #Pretrained Models #Transformer #In-Context Learning #Multivariate Forecasting #Covariates #Group Attention

2025년 10월 21일

[논문리뷰] Balanced Multi-Task Attention for Satellite Image Classification: A Systematic Approach to Achieving 97.23% Accuracy on EuroSAT Without Pre-Training

Aditya Vir이 arXiv에 게시한 'Balanced Multi-Task Attention for Satellite Image Classification: A Systematic Approach to Achieving 97.23% Accuracy on EuroSAT Without Pre-Training' 논문에 대한 자세한 리뷰입니다.

#Review #Satellite Image Classification #Multi-Task Attention #From-Scratch Training #EuroSAT Dataset #Squeeze-Excitation Networks #Coordinate Attention #CNN #Deep Learning Architecture

2025년 10월 21일

[논문리뷰] AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning

Nikos Vlassis이 arXiv에 게시한 'AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Real-Time Interaction #Asynchronous Agents #LLM Explanation #Human-AI Collaboration #Voice Interface #Planning and Reasoning #Context Management #Interruption Handling

2025년 10월 21일

[논문리뷰] Annotation-Efficient Universal Honesty Alignment

Jingtong Wu이 arXiv에 게시한 'Annotation-Efficient Universal Honesty Alignment' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Honesty Alignment #Confidence Calibration #Annotation Efficiency #Self-Consistency #Elicitation-Then-Calibration (EliCal)#HonestyBench #LoRA #Trustworthy AI

2025년 10월 21일

[논문리뷰] Agentic Reinforcement Learning for Search is Unsafe

arXiv에 게시된 'Agentic Reinforcement Learning for Search is Unsafe' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic Reinforcement Learning #LLM Safety #Tool Use #Search Models #Jailbreaking #Instruction Tuning #Vulnerability

2025년 10월 21일

[논문리뷰] VISTA: A Test-Time Self-Improving Video Generation Agent

Tomas Pfister이 arXiv에 게시한 'VISTA: A Test-Time Self-Improving Video Generation Agent' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Video Generation #Prompt Optimization #Multi-Agent System #Test-Time Improvement #MLLM-as-a-Judge #Video Evaluation #Audio-Video Synthesis

2025년 10월 20일

[논문리뷰] Train a Unified Multimodal Data Quality Classifier with Synthetic Data

Ritesh Sarkhel이 arXiv에 게시한 'Train a Unified Multimodal Data Quality Classifier with Synthetic Data' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Data Quality #MLLM #Synthetic Data #Data Filtering #Image-Text Captioning #Interleaved Document Analysis #Pre-training

2025년 10월 20일

[논문리뷰] Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

Chung-Ho Wu이 arXiv에 게시한 'Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery' 논문에 대한 자세한 리뷰입니다.

#Review #3D Scene Synthesis #Gaussian Splatting #Satellite Imagery #Diffusion Models #Urban Modeling #Novel View Synthesis #Curriculum Learning #Real-time Rendering

2025년 10월 20일

[논문리뷰] Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset

Hao Ouyang이 arXiv에 게시한 'Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset' 논문에 대한 자세한 리뷰입니다.

#Review #Video Editing #Instruction-Based Editing #Synthetic Data Generation #Dataset #Curriculum Learning #Diffusion Models #Vision-Language Models

2025년 10월 20일

[논문리뷰] Robust Layerwise Scaling Rules by Proper Weight Decay Tuning

arXiv에 게시된 'Robust Layerwise Scaling Rules by Proper Weight Decay Tuning' 논문에 대한 자세한 리뷰입니다.

#Review #Weight Decay Scaling #Maximal-Update Parameterization (µP)#AdamW #Transformer #Hyperparameter Transfer #Scaling Laws #Singular Value Spectrum #Steady State Training

2025년 10월 20일

[논문리뷰] Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models

Shiwei Liu이 arXiv에 게시한 'Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models' 논문에 대한 자세한 리뷰입니다.

#Review #Mixture-of-Experts (MoE)#Online Adaptation #Test-Time Adaptation (TTA)#Expert Routing #Large Language Models (LLMs)#Self-Supervision #Computational Efficiency #Context Shift Robustness

2025년 10월 20일

[논문리뷰] Paper2Web: Let's Make Your Paper Alive!

Yao Wan이 arXiv에 게시한 'Paper2Web: Let's Make Your Paper Alive!' 논문에 대한 자세한 리뷰입니다.

#Review #Academic Webpage Generation #Multi-Agent Systems #Large Language Models #Model Context Protocol #Interactive Content #Multimedia Dissemination #Evaluation Benchmark #Human-Computer Interaction

2025년 10월 20일

[논문리뷰] OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

arXiv에 게시된 'OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM' 논문에 대한 자세한 리뷰입니다.

#Review #Omni-Modal LLM #Multimodal Understanding #Vision-Audio Alignment #Temporal Reasoning #Data Curation #Foundation Models #Contrastive Learning #Rotary Time Embedding

2025년 10월 20일

[논문리뷰] NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks

Hongyu Yan이 arXiv에 게시한 'NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks' 논문에 대한 자세한 리뷰입니다.

#Review #3D Object Editing #Training-Free #FlowEdit #Mask-Free #Deep Generative Models #TRELLIS #Data Generation #Geometric Consistency

2025년 10월 20일

[논문리뷰] MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning

arXiv에 게시된 'MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Evaluation #Reasoning Benchmark #Difficulty Adaptation #Multimodal AI #Proof Graph #Agent Recognition #Automated Question Generation

2025년 10월 20일

[논문리뷰] LightsOut: Diffusion-based Outpainting for Enhanced Lens Flare Removal

arXiv에 게시된 'LightsOut: Diffusion-based Outpainting for Enhanced Lens Flare Removal' 논문에 대한 자세한 리뷰입니다.

#Review #Lens Flare Removal #Diffusion Models #Image Outpainting #Deep Learning #Image Restoration #Preprocessing #LoRA

2025년 10월 20일

[논문리뷰] Latent Diffusion Model without Variational Autoencoder

arXiv에 게시된 'Latent Diffusion Model without Variational Autoencoder' 논문에 대한 자세한 리뷰입니다.

#Review #Latent Diffusion Model #Variational Autoencoder #Self-supervised Learning #DINO Features #Generative Models #Image Generation #Training Efficiency #Unified Representation

2025년 10월 20일

[논문리뷰] Language Models Model Language

arXiv에 게시된 'Language Models Model Language' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Linguistics #Witold Mańczak #Frequency Hypothesis #Empirical Validation #Usage-Based Linguistics #Semantic Embeddings

2025년 10월 20일

[논문리뷰] InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training

Congkai Xie이 arXiv에 게시한 'InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training' 논문에 대한 자세한 리뷰입니다.

#Review #LLMs #Reinforcement Learning #Rubric-Based Training #Medical Dialogue #Open-Ended Tasks #HealthBench #RAG

2025년 10월 20일