Review

[논문리뷰] Fast-weight Product Key Memory

arXiv에 게시된 'Fast-weight Product Key Memory' 논문에 대한 자세한 리뷰입니다.

#Review #Fast-weight Memory #Product Key Memory #Episodic Memory #Language Models #Long-Context Modeling #Memory Augmented Networks #Continual Learning

2026년 1월 4일

[논문리뷰] Diversity or Precision? A Deep Dive into Next Token Prediction

arXiv에 게시된 'Diversity or Precision? A Deep Dive into Next Token Prediction' 논문에 대한 자세한 리뷰입니다.

#Review #Next Token Prediction #Reinforcement Learning #Large Language Models #Reward Shaping #Pre-training Objective #Policy Gradient #Exploration-Exploitation

2026년 1월 4일

[논문리뷰] Deep Delta Learning

Quanquan Gu이 arXiv에 게시한 'Deep Delta Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Deep Residual Networks #Delta Operator #Geometric Transformation #Spectral Analysis #Gated Networks #Householder Reflection #Dynamical Systems #Identity Shortcut

2026년 1월 4일

[논문리뷰] Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation

Sung Ju Hwang이 arXiv에 게시한 'Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation' 논문에 대한 자세한 리뷰입니다.

#Review #Avatar Generation #Real-Time Interaction #Diffusion Models #Preference Optimization #Causal Inference #Multimodal Input #Head Avatar

2026년 1월 4일

[논문리뷰] AdaGaR: Adaptive Gabor Representation for Dynamic Scene Reconstruction

Yu-Lun Liu이 arXiv에 게시한 'AdaGaR: Adaptive Gabor Representation for Dynamic Scene Reconstruction' 논문에 대한 자세한 리뷰입니다.

#Review #Dynamic Scene Reconstruction #Gabor Representation #Gaussian Splatting #Temporal Continuity #Cubic Hermite Splines #Frequency Adaptivity #Monocular Video

2026년 1월 4일

[논문리뷰] On the Role of Discreteness in Diffusion LLMs

arXiv에 게시된 'On the Role of Discreteness in Diffusion LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Language Models #Discrete Text #Continuous Diffusion #Text Generation #Data Augmentation #Parallel Decoding #Structural Dependency

2026년 1월 1일

[논문리뷰] Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space

arXiv에 게시된 'Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space' 논문에 대한 자세한 리뷰입니다.

#Review #Hierarchical Language Model #Concept-Level Reasoning #Dynamic Segmentation #Adaptive Computation #Scaling Laws #Maximal Update Parametrization #Next-Token Prediction #Flash Attention

2026년 1월 1일

[논문리뷰] DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models

Siyuan Huang이 arXiv에 게시한 'DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Diffusion Models #Image-to-Image Generation #Vision-centric AI #Generative AI #Spatial Planning #Constraint Satisfaction

2026년 1월 1일

[논문리뷰] mHC: Manifold-Constrained Hyper-Connections

arXiv에 게시된 'mHC: Manifold-Constrained Hyper-Connections' 논문에 대한 자세한 리뷰입니다.

#Review #Hyper-Connections #Residual Connections #Manifold Learning #Doubly Stochastic Matrices #Training Stability #Large Language Models #Infrastructure Optimization #Deep Learning Architecture

2025년 12월 31일

[논문리뷰] Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models

Xinyi Dai이 arXiv에 게시한 'Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Lightweight LLM #Agentic AI #Pre-training #Multi-Latent Attention #Long-Context #Curriculum Learning #Agentic Mid-training #Instruction Tuning

2025년 12월 31일

[논문리뷰] Valori: A Deterministic Memory Substrate for AI Systems

varam17이 arXiv에 게시한 'Valori: A Deterministic Memory Substrate for AI Systems' 논문에 대한 자세한 리뷰입니다.

#Review #Deterministic AI #Reproducible Computation #Fixed-Point Arithmetic #Vector Databases #AI Memory #State Machine #Auditability

2025년 12월 31일

[논문리뷰] SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time

Tuanfeng Y. Wang이 arXiv에 게시한 'SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time' 논문에 대한 자세한 리뷰입니다.

#Review #Video Diffusion Model #Generative Rendering #Novel View Synthesis #Space-Time Disentanglement #Temporal Control #Camera Control #Dynamic Scenes #Temporal Warping

2025년 12월 31일

[논문리뷰] Scaling Open-Ended Reasoning to Predict the Future

arXiv에 게시된 'Scaling Open-Ended Reasoning to Predict the Future' 논문에 대한 자세한 리뷰입니다.

#Review #Language Models #Forecasting #Open-Ended Reasoning #Reinforcement Learning (RL)#Data Generation #Calibration #Retrieval-Augmented Generation (RAG)#Future Prediction

2025년 12월 31일

[논문리뷰] Pretraining Frame Preservation in Autoregressive Video Memory Compression

Beijia Lu이 arXiv에 게시한 'Pretraining Frame Preservation in Autoregressive Video Memory Compression' 논문에 대한 자세한 리뷰입니다.

#Review #Video Compression #Autoregressive Models #Memory Compression #Frame Preservation #Pretraining #Video Generation #Diffusion Models #Long-Range Consistency

2025년 12월 31일

[논문리뷰] PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation

arXiv에 게시된 'PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Video Generation #Physics-Aware AI #Direct Preference Optimization #Groupwise Preference Learning #Vision-Language Model #LoRA

2025년 12월 31일

[논문리뷰] Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem

Wei Gao이 arXiv에 게시한 'Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic Learning Ecosystem #Large Language Models #Reinforcement Learning #Agentic Crafting #Tool Use #ROME Model #Policy Optimization #Sandbox Environment

2025년 12월 31일

[논문리뷰] JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation

arXiv에 게시된 'JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLM #Sounding Video #Video Comprehension #Video Generation #Audio-Video Synchronization #Instruction Tuning #Diffusion Model #Encoder-Decoder

2025년 12월 31일

[논문리뷰] Guiding a Diffusion Transformer with the Internal Dynamics of Itself

arXiv에 게시된 'Guiding a Diffusion Transformer with the Internal Dynamics of Itself' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Transformer #Generative AI #Image Generation #Guidance Strategy #Internal Guidance #Auxiliary Loss #Classifier-Free Guidance

2025년 12월 31일

[논문리뷰] Geometry-Aware Optimization for Respiratory Sound Classification: Enhancing Sensitivity with SAM-Optimized Audio Spectrogram Transformers

Mahşuk Taylan이 arXiv에 게시한 'Geometry-Aware Optimization for Respiratory Sound Classification: Enhancing Sensitivity with SAM-Optimized Audio Spectrogram Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Respiratory Sound Classification #Audio Spectrogram Transformer #Sharpness-Aware Minimization #Loss Landscape #Imbalanced Learning #Transfer Learning #ICBHI 2017

2025년 12월 31일

[논문리뷰] GaMO: Geometry-aware Multi-view Diffusion Outpainting for Sparse-View 3D Reconstruction

Yu-Lun Liu이 arXiv에 게시한 'GaMO: Geometry-aware Multi-view Diffusion Outpainting for Sparse-View 3D Reconstruction' 논문에 대한 자세한 리뷰입니다.

#Review #3D Reconstruction #Sparse-View #Diffusion Models #Outpainting #Gaussian Splatting #Geometry-aware #Novel View Synthesis

2025년 12월 31일