#Data Synthesis

36개의 포스트

[논문리뷰] Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design

Junyang Ren이 arXiv에 게시한 'Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design' 논문에 대한 자세한 리뷰입니다.

#Review #Deep Research #Agentic Search #Verification-Centric Design #Data Synthesis #Test-time Scaling #ReAct #Multi-agent Systems

2026년 3월 30일

[논문리뷰] HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning

arXiv에 게시된 'HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Models #Multi-Hop Reasoning #Data Synthesis #Reinforcement Learning with Verifiable Rewards #Chain-of-Thought #Generalizable Reasoning #Perception-level Hops #Instance-chain Hops

2026년 3월 22일

[논문리뷰] InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing

ganlinyang이 arXiv에 게시한 'InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Models #Multimodal Large Language Model #Image Generation #Image Editing #Chain-of-Thought #Data Synthesis #Low-parameter Models

2026년 3월 10일

[논문리뷰] From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning

arXiv에 게시된 'From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Cold-Start Initialization #Attention Mechanism #Visual Grounding #Large Multimodal Models (LMMs)#Reinforcement Learning (RLHF)#Data Synthesis #Visual Attention Score (VAS)

2026년 3월 9일

[논문리뷰] CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification

Zichen Tian이 arXiv에 게시한 'CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification' 논문에 대한 자세한 리뷰입니다.

#Review #Tool-Use Agents #Multi-turn Interaction #Data Synthesis #Constraint-Guided Verification #Large Language Models #Supervised Fine-tuning #Reinforcement Learning

2026년 3월 2일

[논문리뷰] Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization

arXiv에 게시된 'Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Long-Horizon Search #Parallel Execution #Data Synthesis #Reinforcement Learning #Generalization #Efficiency #LLM Agent

2026년 2월 26일

[논문리뷰] StereoAdapter-2: Globally Structure-Consistent Underwater Stereo Depth Estimation

arXiv에 게시된 'StereoAdapter-2: Globally Structure-Consistent Underwater Stereo Depth Estimation' 논문에 대한 자세한 리뷰입니다.

#Review #Underwater Depth Estimation #Stereo Matching #State Space Model #Mamba Architecture #ConvSS2D #Data Synthesis #LoRA #Zero-shot Learning #Robotics

2026년 2월 19일

[논문리뷰] SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents

Huayu Sha이 arXiv에 게시한 'SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Tool-use #Scientific Reasoning #Benchmarking #Interactive Environment #Data Synthesis #Error Recovery #Multi-step Tasks

2026년 2월 15일

[논문리뷰] Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs

Ninghao Liu이 arXiv에 게시한 'Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Data Synthesis #LLMs #Feature Space #Sparse Autoencoders #Diversity Metrics #Post-Training #Instruction Tuning #Feature Activation Coverage

2026년 2월 15일

[논문리뷰] daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently

arXiv에 게시된 'daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently' 논문에 대한 자세한 리뷰입니다.

#Review #Long-Horizon Agency #Data Synthesis #Pull Request Chains #Software Evolution #LLM Training #Agentic AI #Self-Distillation #Code Generation

2026년 2월 3일

[논문리뷰] OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution

Yusai Zhao이 arXiv에 게시한 'OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution' 논문에 대한 자세한 리뷰입니다.

#Review #GUI Agent #Multimodal AI #MoE #Data Synthesis #Reinforcement Learning #Cross-Platform #Benchmarking

2026년 1월 28일

[논문리뷰] Typhoon OCR: Open Vision-Language Model For Thai Document Extraction

arXiv에 게시된 'Typhoon OCR: Open Vision-Language Model For Thai Document Extraction' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Model #OCR #Thai Language Processing #Document Understanding #Low-Resource Language #Data Synthesis #Fine-tuning #Layout Analysis

2026년 1월 21일

[논문리뷰] DreamID-V:Bridging the Image-to-Video Gap for High-Fidelity Face Swapping via Diffusion Transformer

arXiv에 게시된 'DreamID-V:Bridging the Image-to-Video Gap for High-Fidelity Face Swapping via Diffusion Transformer' 논문에 대한 자세한 리뷰입니다.

#Review #Video Face Swapping #Diffusion Transformer #Identity Preservation #Temporal Consistency #Modality-Aware Conditioning #Reinforcement Learning #Data Synthesis

2026년 1월 5일

[논문리뷰] DreamOmni3: Scribble-based Editing and Generation

arXiv에 게시된 'DreamOmni3: Scribble-based Editing and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Image Generation #Scribble-based Control #Multimodal AI #Diffusion Models #Data Synthesis #Human-Computer Interaction #Instruction-based Editing

2025년 12월 30일

[논문리뷰] Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale

arXiv에 게시된 'Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Reasoning #Compositional AI #Vision-Language Models #Data Synthesis #Chain-of-Thought #Reinforcement Learning #Multimodal Transfer #Grounded Reasoning

2025년 11월 10일

[논문리뷰] V-Thinker: Interactive Thinking with Images

Peiqing Yang이 arXiv에 게시한 'V-Thinker: Interactive Thinking with Images' 논문에 대한 자세한 리뷰입니다.

#Review #Large Multimodal Models #Interactive Reasoning #Vision-Centric Thinking #Reinforcement Learning #Data Synthesis #Visual Tools #Curriculum Learning #Multimodal AI

2025년 11월 9일

[논문리뷰] Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum

arXiv에 게시된 'Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum' 논문에 대한 자세한 리뷰입니다.

#Review #Video Retrieval #Multimodal Embedding #Data Synthesis #Curriculum Learning #Zero-shot Generalization #Benchmark Design #MLLM #Video-Text Retrieval

2025년 11월 9일

[논문리뷰] MedVLSynther: Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs

arXiv에 게시된 'MedVLSynther: Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs' 논문에 대한 자세한 리뷰입니다.

#Review #Medical VQA #Large Multimodal Models (LMMs)#Data Synthesis #Generator-Verifier Framework #Rubric-Guided #Reinforcement Learning (RL)#Context-Aware

2025년 10월 31일

[논문리뷰] EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis

arXiv에 게시된 'EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis' 논문에 대한 자세한 리뷰입니다.

#Review #Electronic Health Records #Large Language Models #Reasoning Enhancement #Instruction Tuning #Reinforcement Learning #Data Synthesis #Medical AI #Clinical Decision Support

2025년 10월 31일

[논문리뷰] JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence

arXiv에 게시된 'JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Code Intelligence #Visual-Programmatic Interface #Code Generation #Data Synthesis #Large Language Models #Visualizations #Web UI #Animation

2025년 10월 30일

[논문리뷰] FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling

arXiv에 게시된 'FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling' 논문에 대한 자세한 리뷰입니다.

#Review #Function Calling #Multi-Turn Interaction #Large Language Models (LLMs)#Data Synthesis #Agentic AI #Tool Use #Chain-of-Thought (CoT)#Reinforcement Learning

2025년 10월 29일

[논문리뷰] AgentFrontier: Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis

arXiv에 게시된 'AgentFrontier: Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Data Synthesis #Zone of Proximal Development (ZPD)#Complex Reasoning #Tool Use #Automated Benchmarking #Agentic AI #Rejection Sampling Fine-Tuning

2025년 10월 29일

[논문리뷰] LimRank: Less is More for Reasoning-Intensive Information Reranking

Arman Cohan이 arXiv에 게시한 'LimRank: Less is More for Reasoning-Intensive Information Reranking' 논문에 대한 자세한 리뷰입니다.

#Review #Information Reranking #Large Language Models #Data Synthesis #Reasoning-Intensive Retrieval #Low-Resource Learning #Data Efficiency #Instruction Following

2025년 10월 28일

[논문리뷰] PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis

Hui Li이 arXiv에 게시한 'PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis' 논문에 대한 자세한 리뷰입니다.

#Review #World Models #Deformable Objects #Physics Simulation #GNN #Digital Twin #Data Synthesis #Real-to-Sim #Physics-Aware Learning

2025년 10월 27일

[논문리뷰] VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos

Xinyuan Wang이 arXiv에 게시한 'VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos' 논문에 대한 자세한 리뷰입니다.

#Review #GUI Agents #Video Pretraining #Inverse Dynamics #Action Recognition #Computer Use Automation #Data Synthesis #Multimodal Learning

2025년 10월 23일

[논문리뷰] LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts

arXiv에 게시된 'LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Long Context Reasoning #Large Language Models #Multi-hop QA #Data Synthesis #Retrieval-Augmented Generation #Chain-of-Thought

2025년 10월 23일

[논문리뷰] EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning

Qipeng Guo이 arXiv에 게시한 'EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Verifiable Learning #Data Synthesis #Evolutionary Algorithm #Large Language Models #Reinforcement Learning #Model Distillation #Test Generation

2025년 10월 22일

[논문리뷰] Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents

Jianshu Zhang이 arXiv에 게시한 'Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Web Agents #Information Aggregation #Data Synthesis #Online Exploration #Foundation Models #Multi-hop QA #Deep Research

2025년 10월 20일

[논문리뷰] InfoAgent: Advancing Autonomous Information-Seeking Agents

arXiv에 게시된 'InfoAgent: Advancing Autonomous Information-Seeking Agents' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Information Seeking #Reinforcement Learning #Data Synthesis #Web Search Tools #Tool Use #Deep Research Agents

2025년 10월 1일

[논문리뷰] WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents

Wenbiao Yin이 arXiv에 게시한 'WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Deep Research #Iterative Reasoning #Long-Horizon Tasks #Context Management #Data Synthesis #Tool-Augmented LLMs #Markov Decision Process

2025년 9월 17일

[논문리뷰] Scaling Agents via Continual Pre-training

Guangyu Li이 arXiv에 게시한 'Scaling Agents via Continual Pre-training' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic LLMs #Continual Pre-training #Deep Research Agents #Tool Use #Multi-step Reasoning #Data Synthesis #Scaling Laws

2025년 9월 17일

[논문리뷰] Open Data Synthesis For Deep Research

Zheng Liu이 arXiv에 게시한 'Open Data Synthesis For Deep Research' 논문에 대한 자세한 리뷰입니다.

#Review #Data Synthesis #Deep Research #Hierarchical Constraint Satisfaction Problems #Large Language Models #Agentic AI #Reinforcement Learning #Question Answering

2025년 9월 4일

[논문리뷰] mSCoRe: a Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning

anoperson이 arXiv에 게시한 'mSCoRe: a Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Multilingual Benchmark #Commonsense Reasoning #LLM Evaluation #Reasoning Taxonomy #Benchmark Scaling #Data Synthesis #Cultural Nuances

2025년 8월 21일

[논문리뷰] Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL

Chuyi He이 arXiv에 게시한 'Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #LLM Agents #Agentic Search #Asynchronous RL #Long-Horizon Planning #Tool Use #Data Synthesis

2025년 8월 13일

[논문리뷰] ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability

Yuchen Li이 arXiv에 게시한 'ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability' 논문에 대한 자세한 리뷰입니다.

#Review #Passage Ranking #Reasoning Models #Large Language Models #Data Synthesis #Reinforcement Learning #Listwise Reranking #Information Retrieval

2025년 8월 12일

[논문리뷰] Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction

Jui-Hui Chung이 arXiv에 게시한 'Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction' 논문에 대한 자세한 리뷰입니다.

#Review #Automated Theorem Proving #Formal Verification #Language Models #Self-Correction #Data Synthesis #Reinforcement Learning #Model Averaging #Lean

2025년 8월 6일