[논문리뷰] RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing ModelsarXiv에 게시된 'RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models' 논문에 대한 자세한 리뷰입니다.#Review#Image Restoration#Real-World Degradation#Large-Scale Image Editing Models#Diffusion Models#Data Generation#RealIR-Bench#Zero-shot Generalization#Transfer Learning2026년 3월 26일댓글 수 로딩 중
[논문리뷰] CodePercept: Code-Grounded Visual STEM Perception for MLLMsarXiv에 게시된 'CodePercept: Code-Grounded Visual STEM Perception for MLLMs' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Large Language Models (MLLMs)#STEM Visual Reasoning#Code-Grounded Perception#Image-to-Code Translation#Data Generation#Benchmark#Reinforcement Learning#Matplotlib2026년 3월 11일댓글 수 로딩 중
[논문리뷰] From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal ModelsWei Ye이 arXiv에 게시한 'From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models' 논문에 대한 자세한 리뷰입니다.#Review#Large Multimodal Models#Iterative Training#Diagnostic-Driven Learning#Reinforcement Learning#Multimodal Reasoning#Data Generation#Agent Systems2026년 2월 26일댓글 수 로딩 중
[논문리뷰] SWE-Universe: Scale Real-World Verifiable Environments to MillionsarXiv에 게시된 'SWE-Universe: Scale Real-World Verifiable Environments to Millions' 논문에 대한 자세한 리뷰입니다.#Review#Software Engineering Environments#LLM Agents#Data Generation#Verifiable Tasks#Multilingual#Reinforcement Learning#Self-Verification#Hacking Detection2026년 2월 2일댓글 수 로딩 중
[논문리뷰] ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement ArenasKaichi Yu이 arXiv에 게시한 'ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas' 논문에 대한 자세한 리뷰입니다.#Review#LLM Agent#Tool Use#Trajectory Synthesis#Reinforcement Learning#Environment Synthesis#Data Generation#Multi-turn Interaction#Automated Training2026년 2월 1일댓글 수 로딩 중
[논문리뷰] Scaling Open-Ended Reasoning to Predict the FuturearXiv에 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 Prediction2025년 12월 31일댓글 수 로딩 중
[논문리뷰] Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal EstimationarXiv에 게시된 'Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation' 논문에 대한 자세한 리뷰입니다.#Review#Video Diffusion Model#Depth Estimation#Normal Estimation#Transparent Objects#Robotics#Data Generation#LoRA Fine-tuning2025년 12월 29일댓글 수 로딩 중
[논문리뷰] N3D-VLM: Native 3D Grounding Enables Accurate Spatial Reasoning in Vision-Language ModelsarXiv에 게시된 'N3D-VLM: Native 3D Grounding Enables Accurate Spatial Reasoning in Vision-Language Models' 논문에 대한 자세한 리뷰입니다.#Review#3D Grounding#Spatial Reasoning#Vision-Language Models#Depth Estimation#3D Object Detection#Chain-of-Thought#Data Generation#Multimodal AI2025년 12월 18일댓글 수 로딩 중
[논문리뷰] GigaWorld-0: World Models as Data Engine to Empower Embodied AIChaojun Ni이 arXiv에 게시한 'GigaWorld-0: World Models as Data Engine to Empower Embodied AI' 논문에 대한 자세한 리뷰입니다.#Review#World Models#Embodied AI#Data Generation#Video Generation#3D Scene Reconstruction#Robotics#Vision-Language-Action2025년 11월 25일댓글 수 로딩 중
[논문리뷰] Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale DatasetarXiv에 게시된 'Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset' 논문에 대한 자세한 리뷰입니다.#Review#Medical Imaging#Chest X-ray#Lesion Segmentation#Vision-Language Models#Instruction Following#Data Generation#MIMIC-CXR2025년 11월 19일댓글 수 로딩 중
[논문리뷰] LoopTool: Closing the Data-Training Loop for Robust LLM Tool CallsarXiv에 게시된 'LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models (LLMs)#Tool Learning#Data Generation#Model Training#Closed-Loop Framework#Reinforcement Learning (RL)#Data Refinement#Self-Correction2025년 11월 12일댓글 수 로딩 중
[논문리뷰] VideoSSR: Video Self-Supervised Reinforcement LearningarXiv에 게시된 'VideoSSR: Video Self-Supervised Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#Video Understanding#Self-Supervised Learning#Reinforcement Learning#MLLMs#Pretext Tasks#Verifiable Rewards#Data Generation#Temporal Grounding2025년 11월 11일댓글 수 로딩 중
[논문리뷰] ChartM^3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart ComprehensionHao Wang이 arXiv에 게시한 'ChartM^3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart Comprehension' 논문에 대한 자세한 리뷰입니다.#Review#Chart Comprehension#Visual Reasoning#Data Generation#Code-Driven Pipeline#Multimodal LLMs#Retrieval-Augmented Generation#Reinforcement Learning#Synthetic Data2025년 11월 9일댓글 수 로딩 중
[논문리뷰] NANO3D: A Training-Free Approach for Efficient 3D Editing Without MasksHongyu 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 Consistency2025년 10월 20일댓글 수 로딩 중
[논문리뷰] Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining LevelsarXiv에 게시된 'Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning (RL)#Large Language Models (LLMs)#Data Pipeline#Web-scale Data#Question-Answering (QA)#Data Generation#Data Diversity#Data Efficiency2025년 10월 13일댓글 수 로딩 중
[논문리뷰] MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimizationvanilla1116이 arXiv에 게시한 'MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal LLMs#Reflective Reasoning#Long-Chain Reasoning#Benchmark#Policy Optimization#Data Generation#Reinforcement Learning#Backtracking2025년 10월 10일댓글 수 로딩 중
[논문리뷰] Mano ReportMinghui Wu이 arXiv에 게시한 'Mano Report' 논문에 대한 자세한 리뷰입니다.#Review#GUI Agent#Multi-modal Foundation Model#Reinforcement Learning#Supervised Fine-tuning#Simulated Environment#Data Generation#Error Recovery#Web Automation2025년 9월 23일댓글 수 로딩 중
[논문리뷰] WebExplorer: Explore and Evolve for Training Long-Horizon Web AgentsAili Chen이 arXiv에 게시한 'WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents' 논문에 대한 자세한 리뷰입니다.#Review#Web Agents#Long-Horizon Reasoning#Large Language Models (LLMs)#Data Generation#Reinforcement Learning (RL)#Supervised Fine-tuning (SFT)#Web Navigation#Information Retrieval2025년 9월 9일댓글 수 로딩 중