#Synthetic Data

33개의 포스트

[논문리뷰] Structured Distillation of Web Agent Capabilities Enables Generalization

arXiv에 게시된 'Structured Distillation of Web Agent Capabilities Enables Generalization' 논문에 대한 자세한 리뷰입니다.

#Review #Web Agent #Knowledge Distillation #Synthetic Data #Trajectory Synthesis #Agent-as-Annotators #Supervised Fine-Tuning #Generalization

2026년 4월 9일

[논문리뷰] PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models

arXiv에 게시된 'PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Human Mesh Recovery #Synthetic Data #Direct Preference Optimization #Data Generation Pipeline #3D-2D Consistency

2026년 3월 31일

[논문리뷰] MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data

arXiv에 게시된 'MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Models #Self-Evolution #Reinforcement Learning #Zero-Data #Multi-Agent Systems #Code Generation #Synthetic Data

2026년 3월 10일

[논문리뷰] UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data

Jia Zeng이 arXiv에 게시한 'UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data' 논문에 대한 자세한 리뷰입니다.

#Review #Dexterous Grasping #Bimanual Robots #Synthetic Data #Grasp Synthesis #Sim-to-Real Transfer #Point Cloud #Transformer Policy

2026년 3월 5일

[논문리뷰] CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning

arXiv에 게시된 'CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Synthetic Data #LLM Reasoning #Chain-of-Thought #Data Efficiency #Post-training #Generalization #Quality Control #Domain Coverage

2026년 3월 2일

[논문리뷰] Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility

arXiv에 게시된 'Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility' 논문에 대한 자세한 리뷰입니다.

#Review #Scientific Image Synthesis #Multimodal Reasoning #Text-to-Image #Benchmarking #Programmatic Synthesis #Large Multimodal Models #Synthetic Data

2026년 1월 26일

[논문리뷰] SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback

arXiv에 게시된 'SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback' 논문에 대한 자세한 리뷰입니다.

#Review #Deep Search #Agentic Data Generation #LLMs #Execution Feedback #Reinforcement Learning #Question Answering #Synthetic Data

2026년 1월 26일

[논문리뷰] DSGym: A Holistic Framework for Evaluating and Training Data Science Agents

Yongchan Kwon이 arXiv에 게시한 'DSGym: A Holistic Framework for Evaluating and Training Data Science Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Data Science Agents #LLM Evaluation #Benchmark Framework #Execution-Grounded Training #Bioinformatics #Kaggle #Shortcut Filtering #Synthetic Data

2026년 1월 25일

[논문리뷰] Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing

Dingkun Long이 arXiv에 게시한 'Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Composed Image Retrieval #Fine-Grained Evaluation #Image Editing #Benchmark #Multimodal LLM #Synthetic Data #Compositional Reasoning

2026년 1월 22일

[논문리뷰] TranslateGemma Technical Report

arXiv에 게시된 'TranslateGemma Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Machine Translation #Large Language Models #Reinforcement Learning #Supervised Fine-tuning #Gemma 3 #Multimodal AI #Synthetic Data

2026년 1월 14일

[논문리뷰] SurgWorld: Learning Surgical Robot Policies from Videos via World Modeling

arXiv에 게시된 'SurgWorld: Learning Surgical Robot Policies from Videos via World Modeling' 논문에 대한 자세한 리뷰입니다.

#Review #Surgical Robotics #World Models #Video Generation #Imitation Learning #Inverse Dynamics Model #Synthetic Data #Vision-Language-Action Models #Data Scarcity

2025년 12월 29일

[논문리뷰] DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI

arXiv에 게시된 'DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Data Preparation #Workflow Automation #Data-Centric AI #Synthetic Data #Multi-Agent System #Framework #Reproducibility

2025년 12월 22일

[논문리뷰] SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning

arXiv에 게시된 'SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Video Reasoning #Reinforcement Learning #Multi-Turn Reasoning #Agent System #Long Videos #Synthetic Data #Any-Horizon Reasoning #Large Language Models

2025년 12월 17일

[논문리뷰] Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward

arXiv에 게시된 'Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Models #Understanding-Generation Gap #Reasoning #Knowledge Transfer #Chain-of-Thought #Self-Training #Synthetic Data #Evaluation Framework

2025년 11월 25일

[논문리뷰] Φeat: Physically-Grounded Feature Representation

arXiv에 게시된 'Φeat: Physically-Grounded Feature Representation' 논문에 대한 자세한 리뷰입니다.

#Review #Self-supervised Learning #Physically-Grounded Features #Material Representation #Intrinsic Scene Understanding #Vision Transformer #Synthetic Data #Contrastive Learning

2025년 11월 18일

[논문리뷰] TopoPerception: A Shortcut-Free Evaluation of Global Visual Perception in Large Vision-Language Models

Rong Zhao이 arXiv에 게시한 'TopoPerception: A Shortcut-Free Evaluation of Global Visual Perception in Large Vision-Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #LVLM Evaluation #Global Visual Perception #Topological Properties #Shortcut-Free Benchmark #Visual Bottleneck #Multimodal AI #Synthetic Data

2025년 11월 18일

[논문리뷰] ChartM^3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart Comprehension

Hao 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 Data

2025년 11월 9일

[논문리뷰] Tongyi DeepResearch Technical Report

arXiv에 게시된 'Tongyi DeepResearch Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic LLM #Deep Research #Information Seeking #Reinforcement Learning #Synthetic Data #Context Management #Tool Use #Open-source AI

2025년 10월 29일

[논문리뷰] Repurposing Synthetic Data for Fine-grained Search Agent Supervision

arXiv에 게시된 'Repurposing Synthetic Data for Fine-grained Search Agent Supervision' 논문에 대한 자세한 리뷰입니다.

#Review #Search Agents #LLM #Reinforcement Learning #Synthetic Data #Reward Shaping #Entity-aware Reward #Policy Optimization #Knowledge-intensive Tasks

2025년 10월 29일

[논문리뷰] QueST: Incentivizing LLMs to Generate Difficult Problems

arXiv에 게시된 'QueST: Incentivizing LLMs to Generate Difficult Problems' 논문에 대한 자세한 리뷰입니다.

#Review #LLM #Problem Generation #Competitive Programming #Synthetic Data #Difficulty Estimation #Rejection Fine-tuning #Graph Sampling

2025년 10월 21일

[논문리뷰] PICABench: How Far Are We from Physically Realistic Image Editing?

Kaiwen Zhu이 arXiv에 게시한 'PICABench: How Far Are We from Physically Realistic Image Editing?' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Physical Realism #Benchmark #VLM-as-a-Judge #Synthetic Data #Physics-Aware AI #Diffusion Models #Evaluation Metrics

2025년 10월 21일

[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] LLM Reasoning for Machine Translation: Synthetic Data Generation over Thinking Tokens

arXiv에 게시된 'LLM Reasoning for Machine Translation: Synthetic Data Generation over Thinking Tokens' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models (LLMs)#Machine Translation (MT)#Chain-of-Thought (CoT)#Knowledge Distillation #Fine-tuning #Prompt Engineering #Synthetic Data

2025년 10월 15일

[논문리뷰] KORMo: Korean Open Reasoning Model for Everyone

arXiv에 게시된 'KORMo: Korean Open Reasoning Model for Everyone' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Model #Korean #Bilingual #Synthetic Data #Fully Open Model #Tokenizer #Reasoning #Pretraining #Instruction Tuning

2025년 10월 13일

[논문리뷰] Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents

arXiv에 게시된 'Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents' 논문에 대한 자세한 리뷰입니다.

#Review #GUI Agents #On-Device AI #Multimodal LLM #GUI Grounding #GUI Navigation #Reinforcement Learning #Supervised Fine-tuning #Synthetic Data

2025년 10월 1일

[논문리뷰] Synthetic bootstrapped pretraining

Emmanuel Candès이 arXiv에 게시한 'Synthetic bootstrapped pretraining' 논문에 대한 자세한 리뷰입니다.

#Review #Language Model Pretraining #Synthetic Data #Inter-document Correlation #Data Augmentation #Transformer #Bootstrapping #Concept Learning

2025년 9월 23일

[논문리뷰] WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Huifeng Yin이 arXiv에 게시한 'WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Web Agents #Reinforcement Learning #Synthetic Data #Knowledge Graphs #LLMs #Supervised Fine-Tuning #Sim-to-Real Transfer #Agentic AI

2025년 9월 17일

[논문리뷰] <think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs

Alexander Panchenko이 arXiv에 게시한 '<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Toxic Text Generation #LLMs #Text Detoxification #Lexical Diversity #Synthetic Data #Human Annotation #Style Transfer

2025년 9월 11일

[논문리뷰] Reverse-Engineered Reasoning for Open-Ended Generation

Wangchunshu Zhou이 arXiv에 게시한 'Reverse-Engineered Reasoning for Open-Ended Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Deep Reasoning #Open-Ended Generation #Reverse-Engineered Reasoning (REER)#LLMs #Synthetic Data #Iterative Refinement #Perplexity Minimization #DeepWriting-20K

2025년 9월 9일

[논문리뷰] LuxDiT: Lighting Estimation with Video Diffusion Transformer

Sanja Fidler이 arXiv에 게시한 'LuxDiT: Lighting Estimation with Video Diffusion Transformer' 논문에 대한 자세한 리뷰입니다.

#Review #Lighting Estimation #HDR Environment Map #Diffusion Models #Video Transformer #Low-Rank Adaptation #Generative Models #Synthetic Data

2025년 9월 8일

[논문리뷰] ROSE: Remove Objects with Side Effects in Videos

Hantang Liu이 arXiv에 게시한 'ROSE: Remove Objects with Side Effects in Videos' 논문에 대한 자세한 리뷰입니다.

#Review #Video Object Removal #Side Effects #3D Rendering #Diffusion Transformer #Video Inpainting #Synthetic Data #Difference Mask

2025년 8월 29일

[논문리뷰] Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation

Zhenghao Hu이 arXiv에 게시한 'Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Synthetic Data #Image Generation #GPT-4o #Multimodal Models #Instruction Following #Surreal Image Generation #Dataset #Benchmarking

2025년 8월 14일

[논문리뷰] Evaluating, Synthesizing, and Enhancing for Customer Support Conversation

Feng Chen이 arXiv에 게시한 'Evaluating, Synthesizing, and Enhancing for Customer Support Conversation' 논문에 대한 자세한 리뷰입니다.

#Review #Customer Support #Dialogue Generation #Large Language Models #Role-Playing #COPC Framework #Synthetic Data #Strategy Prediction #Empathetic AI

2025년 8월 8일