Review

[논문리뷰] MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources

Jing Wang이 arXiv에 게시한 'MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Reinforcement Learning #Variance-Aware Sampling #Gradient Vanishing #Data Curation #Chain-of-Thought #GRPO

2025년 9월 26일

[논문리뷰] MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model

Hung-yi Lee이 arXiv에 게시한 'MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model' 논문에 대한 자세한 리뷰입니다.

#Review #Speech Emotion Recognition #Source-Free Unsupervised Domain Adaptation #Large Audio-Language Models #Label Fusion #Mutual Information #API-Only Models #Domain Mismatch

2025년 9월 26일

[논문리뷰] Interactive Recommendation Agent with Active User Commands

Xueyang Feng이 arXiv에 게시한 'Interactive Recommendation Agent with Active User Commands' 논문에 대한 자세한 리뷰입니다.

#Review #Interactive Recommendation #Large Language Models #Multi-Agent System #Natural Language Processing #Knowledge Distillation #User Control

2025년 9월 26일

[논문리뷰] Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets

Bowen Zhang이 arXiv에 게시한 'Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets' 논문에 대한 자세한 리뷰입니다.

#Review #3D Generation #Controllable Generation #Multi-modal Conditioning #Diffusion Models #Point Clouds #Voxels #Bounding Boxes #Skeletons #Hunyuan3D

2025년 9월 26일

[논문리뷰] Does FLUX Already Know How to Perform Physically Plausible Image Composition?

Chen Zhao이 arXiv에 게시한 'Does FLUX Already Know How to Perform Physically Plausible Image Composition?' 논문에 대한 자세한 리뷰입니다.

#Review #Image Composition #Diffusion Models #Training-Free #Physically Plausible #FLUX #Adapter #Guidance #Benchmark

2025년 9월 26일

[논문리뷰] Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving

Hang Zhao이 arXiv에 게시한 'Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving' 논문에 대한 자세한 리뷰입니다.

#Review #Autonomous Driving #Vision-Language-Action Models #Discrete Diffusion #Reflection Mechanism #Trajectory Generation #Safety Constraints #Imitation Learning

2025년 9월 26일

[논문리뷰] CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling

Yushi Bai이 arXiv에 게시한 'CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling' 논문에 대한 자세한 리뷰입니다.

#Review #3D Anime Hairstyle #Autoregressive Modeling #Control Points #Parametric Representation #Transformer #Generative AI #Dataset (AnimeHair)#Computer Graphics

2025년 9월 26일

[논문리뷰] CE-GPPO: Controlling Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning

Wenping Hu이 arXiv에 게시한 'CE-GPPO: Controlling Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Language Models #Policy Optimization #PPO #Entropy Control #Gradient Clipping #Exploration-Exploitation

2025년 9월 26일

[논문리뷰] Blueprints of Trust: AI System Cards for End to End Transparency and Governance

Roman Zhukov이 arXiv에 게시한 'Blueprints of Trust: AI System Cards for End to End Transparency and Governance' 논문에 대한 자세한 리뷰입니다.

#Review #AI Governance #Transparency #AI System Card #Hazard-Aware System Card #Data Provenance #AI Safety #AI Risk Management #ISO/IEC 42001

2025년 9월 26일

[논문리뷰] Behind RoPE: How Does Causal Mask Encode Positional Information?

Yeyun Gong이 arXiv에 게시한 'Behind RoPE: How Does Causal Mask Encode Positional Information?' 논문에 대한 자세한 리뷰입니다.

#Review #Transformer Decoder #Causal Mask #Positional Encoding #RoPE #Attention Mechanism #Length Generalization #Large Language Models

2025년 9월 26일

[논문리뷰] BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback

Dongha Lee이 arXiv에 게시한 'BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback' 논문에 대한 자세한 리뷰입니다.

#Review #Search-Augmented LLMs #Personalization #Benchmark #Diagnostic Feedback #User History #Evaluation Framework #RAG

2025년 9월 26일

[논문리뷰] AutoIntent: AutoML for Text Classification

Denis Kuznetsov이 arXiv에 게시한 'AutoIntent: AutoML for Text Classification' 논문에 대한 자세한 리뷰입니다.

#Review #AutoML #Text Classification #Intent Classification #Transformer Embeddings #Out-of-Scope Detection #Multi-label Classification #Few-shot Learning #Sklearn-like Interface

2025년 9월 26일

[논문리뷰] Video models are zero-shot learners and reasoners

rgeirhos이 arXiv에 게시한 'Video models are zero-shot learners and reasoners' 논문에 대한 자세한 리뷰입니다.

#Review #Video Models #Zero-shot Learning #Visual Reasoning #Foundation Models #Generative AI #Perception #Manipulation #Modeling

2025년 9월 25일

[논문리뷰] SIM-CoT: Supervised Implicit Chain-of-Thought

Yuhang Cao이 arXiv에 게시한 'SIM-CoT: Supervised Implicit Chain-of-Thought' 논문에 대한 자세한 리뷰입니다.

#Review #Implicit Reasoning #Chain-of-Thought #LLM #Latent Space #Supervised Learning #Model Stability #Interpretability

2025년 9월 25일

[논문리뷰] PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation

Yiming Huang이 arXiv에 게시한 'PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Physics-Grounded #Controllable Generation #Diffusion Models #Point Cloud Trajectories #Material Simulation #Generative Physics

2025년 9월 25일

[논문리뷰] On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub

Hajimu Iida이 arXiv에 게시한 'On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic Coding #AI Agents #Large Language Models #GitHub Pull Requests #Software Engineering #Empirical Study #Code Generation #Software Development

2025년 9월 25일

[논문리뷰] Logics-Parsing Technical Report

Fan Yang이 arXiv에 게시한 'Logics-Parsing Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Document Parsing #Large Vision-Language Models (LVLM)#Reinforcement Learning (RL)#Layout Analysis #Reading Order #Supervised Fine-Tuning (SFT)#HTML Annotation #Benchmarking

2025년 9월 25일

[논문리뷰] Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation

Zhe Lin이 arXiv에 게시한 'Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal AI #Masked Diffusion Models #Image Understanding #Image Generation #Image Editing #Object Grounding #ElasticMoT #Self-reflection

2025년 9월 25일

[논문리뷰] LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines

Yanfang이 arXiv에 게시한 'LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Generative AI #Academic Disciplines #LLM Applications #Review #Cross-disciplinary Research #Benchmarks

2025년 9월 25일

[논문리뷰] EmbeddingGemma: Powerful and Lightweight Text Representations

Marksherwood이 arXiv에 게시한 'EmbeddingGemma: Powerful and Lightweight Text Representations' 논문에 대한 자세한 리뷰입니다.

#Review #Text Embeddings #Lightweight Models #Encoder-Decoder #Knowledge Distillation #Model Souping #Quantization #Multilingual #Gemma

2025년 9월 25일