#Agentic AI

93개의 포스트

[논문리뷰] HDP: A Lightweight Cryptographic Protocol for Human Delegation Provenance in Agentic AI Systems

arXiv에 게시된 'HDP: A Lightweight Cryptographic Protocol for Human Delegation Provenance in Agentic AI Systems' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Delegation Provenance #Cryptographic Authorization #Multi-agent Systems #Ed25519 #Human-in-the-loop Security #IETF

2026년 4월 6일

[논문리뷰] ASI-Evolve: AI Accelerates AI

arXiv에 게시된 'ASI-Evolve: AI Accelerates AI' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Autonomous Scientific Discovery #Neural Architecture Design #Pretraining Data Curation #Reinforcement Learning

2026년 4월 2일

[논문리뷰] Gen-Searcher: Reinforcing Agentic Search for Image Generation

zhengli1013이 arXiv에 게시한 'Gen-Searcher: Reinforcing Agentic Search for Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Image Generation #Multi-hop Search #Reinforcement Learning #Grounded Generation #Multimodal Agent

2026년 3월 30일

[논문리뷰] EpochX: Building the Infrastructure for an Emergent Agent Civilization

arXiv에 게시된 'EpochX: Building the Infrastructure for an Emergent Agent Civilization' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Marketplace Infrastructure #Credit Mechanism #Human-Agent Collaboration #Persistent Ecosystem Assets

2026년 3월 30일

[논문리뷰] RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

arXiv에 게시된 'RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Language Models #Self-Reflection #Intrinsic Feedback #Continuous Adaptation #Memory Retrieval #Agentic AI #GRPO

2026년 3월 11일

[논문리뷰] OpenClaw-RL: Train Any Agent Simply by Talking

arXiv에 게시된 'OpenClaw-RL: Train Any Agent Simply by Talking' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning (RL)#Agentic AI #Online Learning #Next-State Signals #Process Reward Models (PRM)#On-Policy Distillation (OPD)#Multi-Modal Agents

2026년 3월 11일

[논문리뷰] Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline

arXiv에 게시된 'Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Lifelong Understanding #Video Dataset #Agentic AI #Dynamic Memory Management #Long-Context MLLMs #Temporal Reasoning #Concept Drift

2026년 3월 5일

[논문리뷰] APRES: An Agentic Paper Revision and Evaluation System

arXiv에 게시된 'APRES: An Agentic Paper Revision and Evaluation System' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Peer Review #Automated Revision #Citation Prediction #Agentic AI #Rubric Discovery #Scholarly Communication

2026년 3월 3일

[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] PyVision-RL: Forging Open Agentic Vision Models via RL

Wenshuo Peng이 arXiv에 게시한 'PyVision-RL: Forging Open Agentic Vision Models via RL' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Multimodal Models #Reinforcement Learning #Dynamic Tooling #Interaction Stability #Video Reasoning #Visual Language Models #Rollout Optimization

2026년 2월 24일

[논문리뷰] OCR-Agent: Agentic OCR with Capability and Memory Reflection

arXiv에 게시된 'OCR-Agent: Agentic OCR with Capability and Memory Reflection' 논문에 대한 자세한 리뷰입니다.

#Review #OCR #VLM #Self-Correction #Agentic AI #Capability Reflection #Memory Reflection #Iterative Refinement #Chain-of-Thought

2026년 2월 24일

[논문리뷰] GLM-5: from Vibe Coding to Agentic Engineering

GLM-5 Team이 arXiv에 게시한 'GLM-5: from Vibe Coding to Agentic Engineering' 논문에 대한 자세한 리뷰입니다.

#Review #Foundation Model #Agentic AI #Reinforcement Learning #Sparse Attention #Software Engineering #Long-Context Models #GPU Optimization

2026년 2월 17일

[논문리뷰] DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories

arXiv에 게시된 'DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Agents #Image Retrieval #Context-Aware #Visual Histories #Benchmarking #Vision-Language Models #Agentic AI

2026년 2월 16일

[논문리뷰] Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback

Jimin Seo이 arXiv에 게시한 'Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback' 논문에 대한 자세한 리뷰입니다.

#Review #Recommender System #LLM-based Code Evolution #Directional Feedback #User Simulator #Model Diagnosis Tool #Agentic AI #AutoML

2026년 2월 15일

[논문리뷰] Intelligent AI Delegation

arXiv에 게시된 'Intelligent AI Delegation' 논문에 대한 자세한 리뷰입니다.

#Review #AI Delegation #Multi-agent Systems #Task Decomposition #Agentic AI #Trust & Safety #LLM #Adaptive Coordination

2026년 2월 15일

[논문리뷰] Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters

arXiv에 게시된 'Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters' 논문에 대한 자세한 리뷰입니다.

#Review #Mixture-of-Experts (MoE)#Sparse Models #Inference Efficiency #Hybrid Attention #Multi-Token Prediction (MTP)#Reinforcement Learning (RL)#Agentic AI #Long-Context Understanding

2026년 2월 11일

[논문리뷰] EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies

Yishuo Yuan이 arXiv에 게시한 'EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Evaluation #Long-Horizon Planning #Interactive Economies #Benchmark #Agentic AI #Economic Simulation #Plan-and-Execute

2026년 2월 11일

[논문리뷰] P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads

arXiv에 게시된 'P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Models #Reinforcement Learning #Curriculum Learning #Physics Olympiads #Scientific Reasoning #Agentic AI #Multimodal AI #Physics

2026년 2월 10일

[논문리뷰] Chain of Mindset: Reasoning with Adaptive Cognitive Modes

arXiv에 게시된 'Chain of Mindset: Reasoning with Adaptive Cognitive Modes' 논문에 대한 자세한 리뷰입니다.

#Review #Adaptive Reasoning #Cognitive Modes #Large Language Models (LLMs)#Agentic AI #Multimodal Reasoning #Mindset Orchestration #Contextual Filtering #Training-free Framework

2026년 2월 10일

[논문리뷰] Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning

arXiv에 게시된 'Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Reinforcement Learning #Synthetic Environments #Tool-Use Agents #World Model #Database-Backed Simulation #LLM-powered Agents

2026년 2월 10일

[논문리뷰] Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling

arXiv에 게시된 'Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Agentic AI #Multi-turn Interaction #High-Fidelity #Native Resolution #LLM #Context Folding #Layer Decomposition

2026년 2월 10일

[논문리뷰] InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery

Xiangchao Yan이 arXiv에 게시한 'InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Scientific Discovery #Long-Horizon Reasoning #Structured Memory #Knowledge Graph #Experimental Optimization #Multi-disciplinary

2026년 2월 9일

[논문리뷰] V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval

Zeyu Zhang이 arXiv에 게시한 'V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Retrieval #Agentic AI #Large Language Models (LLMs)#Visual Tools #Chain-of-Thought (CoT)#Reinforcement Learning #Curriculum Learning #Evidence-Driven Reasoning

2026년 2월 5일

[논문리뷰] ProAct: Agentic Lookahead in Interactive Environments

arXiv에 게시된 'ProAct: Agentic Lookahead in Interactive Environments' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Large Language Models #Reinforcement Learning #Lookahead Reasoning #Monte-Carlo Tree Search #Supervised Fine-Tuning #Value Estimation #Simulation Drift

2026년 2월 5일

[논문리뷰] Vibe AIGC: A New Paradigm for Content Generation via Agentic Orchestration

arXiv에 게시된 'Vibe AIGC: A New Paradigm for Content Generation via Agentic Orchestration' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Content Generation #Orchestration #Vibe Coding #Meta-Planner #Human-in-the-Loop #Intent-Execution Gap

2026년 2월 4일

[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] Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

Zhen Fang이 arXiv에 게시한 'Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Large Language Models #Deep Research #Agentic AI #Tool Use #Visual Question Answering #Reinforcement Learning #Multi-scale Search

2026년 2월 2일

[논문리뷰] RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System

arXiv에 게시된 'RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Language Models #Agentic AI #Reward Modeling #Environment Adaptation #Closed-loop Optimization #Multimodal Agents

2026년 2월 2일

[논문리뷰] Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors

Bin Liang이 arXiv에 게시한 'Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors' 논문에 대한 자세한 리뷰입니다.

#Review #Tool Use #Execution Errors #Error Recovery #Reinforcement Learning #LLMs #Agentic AI #GRPO #FISSION

2026년 2월 1일

[논문리뷰] Language-based Trial and Error Falls Behind in the Era of Experience

arXiv에 게시된 'Language-based Trial and Error Falls Behind in the Era of Experience' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Reinforcement Learning #Exploration Efficiency #Sub-Scale Collaboration #Out-of-Distribution Tasks #Agentic AI #Supervised Fine-Tuning

2026년 1월 29일

[논문리뷰] Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning

Shuai Zhang이 arXiv에 게시한 'Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Reinforcement Learning #Long-Horizon Tasks #Dynamic Branching #Strategic Exploration #LLM Agents #Sample Efficiency #Policy Optimization

2026년 1월 28일

[논문리뷰] The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation

arXiv에 게시된 'The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Dialogue-to-Video Generation #Agentic AI #Cinematic Scripting #Long-Horizon Video Synthesis #Visual Coherence #Reinforcement Learning #Multimodal LLM

2026년 1월 26일

[논문리뷰] Agentic Very Long Video Understanding

arXiv에 게시된 'Agentic Very Long Video Understanding' 논문에 대한 자세한 리뷰입니다.

#Review #Long-Horizon Video Understanding #Agentic AI #Entity Graph #Multimodal Reasoning #Video Question Answering #EgoLifeQA #Retrieval Augmented Generation

2026년 1월 26일

[논문리뷰] LongCat-Flash-Thinking-2601 Technical Report

arXiv에 게시된 'LongCat-Flash-Thinking-2601 Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Large Language Models (LLMs)#Mixture-of-Experts (MoE)#Reinforcement Learning (RL)#Context Management #Scalable Training #Test-Time Reasoning #Open-Source Model

2026년 1월 25일

[논문리뷰] XR: Cross-Modal Agents for Composed Image Retrieval

arXiv에 게시된 'XR: Cross-Modal Agents for Composed Image Retrieval' 논문에 대한 자세한 리뷰입니다.

#Review #Composed Image Retrieval #Cross-Modal Agents #Multimodal Reasoning #Training-free Framework #Information Retrieval #Agentic AI #Progressive Retrieval

2026년 1월 21일

[논문리뷰] FARE: Fast-Slow Agentic Robotic Exploration

Jingsong Liang이 arXiv에 게시한 'FARE: Fast-Slow Agentic Robotic Exploration' 논문에 대한 자세한 리뷰입니다.

#Review #Robotic Exploration #LLM #Reinforcement Learning #Fast-Slow Thinking #Hierarchical Planning #Agentic AI #Graph Reasoning

2026년 1월 21일

[논문리뷰] Aligning Agentic World Models via Knowledgeable Experience Learning

arXiv에 게시된 'Aligning Agentic World Models via Knowledgeable Experience Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #World Models #Experience Learning #LLMs #Physical Hallucinations #Embodied AI #Predictive Coding #Knowledge Repository

2026년 1월 20일

[논문리뷰] Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering

arXiv에 게시된 'Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Long-Horizon Autonomy #Cognitive Accumulation #Hierarchical Cognitive Caching (HCC)#Context Management #Machine Learning Engineering (MLE)#LLM Agents

2026년 1월 15일

[논문리뷰] DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation

arXiv에 게시된 'DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Deep Research Systems #Automated Evaluation #Task Construction #Fact-Checking #LLM Benchmarking #Adaptive Evaluation

2026년 1월 14일

[논문리뷰] Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning

Shuo Zhang이 arXiv에 게시한 'Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Video Question Answering #Open-domain Search #Multimodal LLMs #Agentic AI #Benchmark #Video Understanding #Multi-hop Reasoning

2026년 1월 12일

[논문리뷰] MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era

Fan Zhou이 arXiv에 게시한 'MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Distributed Orchestration #Scalability #Cloud-Native #Reinforcement Learning #Software Engineering Agents #Resource Management

2026년 1월 12일

[논문리뷰] DocDancer: Towards Agentic Document-Grounded Information Seeking

arXiv에 게시된 'DocDancer: Towards Agentic Document-Grounded Information Seeking' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Document Question Answering #Tool-use #Information Seeking #Synthetic Data Generation #Long-context Understanding #Multimodal Documents

2026년 1월 8일

[논문리뷰] MiMo-V2-Flash Technical Report

arXiv에 게시된 'MiMo-V2-Flash Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Mixture-of-Experts #Sliding Window Attention #Multi-Token Prediction #Multi-Teacher On-Policy Distillation #Reinforcement Learning #Long-Context Modeling #Agentic AI

2026년 1월 6일

[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] Video-BrowseComp: Benchmarking Agentic Video Research on Open Web

Kaixin Liang이 arXiv에 게시한 'Video-BrowseComp: Benchmarking Agentic Video Research on Open Web' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Video Understanding #Web Browsing #Benchmark #Multimodal LLMs #Temporal Grounding #Cross-Source Reasoning #Information Seeking

2025년 12월 29일

[논문리뷰] GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training

Yuanchun Shi이 arXiv에 게시한 'GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-turn Reinforcement Learning #Vision-Language Models (VLMs)#Agentic AI #Knowledge Distillation #Model Merging #PPO #Thought Guidance #Cost Efficiency

2025년 12월 25일

[논문리뷰] Step-DeepResearch Technical Report

arXiv에 게시된 'Step-DeepResearch Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Deep Research Agents #LLMs #Reinforcement Learning #Supervised Fine-tuning #Agentic AI #Multi-hop Reasoning #Benchmarking #Cost-effectiveness

2025년 12월 23일

[논문리뷰] INTELLECT-3: Technical Report

arXiv에 게시된 'INTELLECT-3: Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Language Models #Mixture-of-Experts #Asynchronous Training #Distributed Systems #Agentic AI #Code Execution #Model Evaluation

2025년 12월 23일

[논문리뷰] Adaptation of Agentic AI

Zhiyi Shi이 arXiv에 게시한 'Adaptation of Agentic AI' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Adaptation #Agent Adaptation #Tool Adaptation #Reinforcement Learning #Fine-tuning #Modular AI

2025년 12월 18일

[논문리뷰] A4-Agent: An Agentic Framework for Zero-Shot Affordance Reasoning

Hongfei Zhang이 arXiv에 게시한 'A4-Agent: An Agentic Framework for Zero-Shot Affordance Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Affordance Prediction #Zero-Shot Learning #Agentic AI #Foundation Models #Multimodal Reasoning #Visual Grounding #Image Generation #Robotics

2025년 12월 16일

[논문리뷰] Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task

arXiv에 게시된 'Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task' 논문에 대한 자세한 리뷰입니다.

#Review #VideoQA #MLLMs #Tool Learning #Spatiotemporal Reasoning #Video Toolkit #Agentic AI

2025년 12월 11일

[논문리뷰] Thinking with Images via Self-Calling Agent

Qixiang Ye이 arXiv에 게시한 'Thinking with Images via Self-Calling Agent' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLMs #Self-Calling Chain-of-Thought #Reinforcement Learning #Visual Reasoning #Agentic AI #Tool Calling #Group Relative Policy Optimization

2025년 12월 11일

[논문리뷰] ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning

arXiv에 게시된 'ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reward Models #Agentic AI #Tool Use #Reinforcement Learning #Visual Reasoning #Multimodal LLMs #Instruction Following #Evaluation Benchmarks

2025년 12월 4일

[논문리뷰] Qwen3-VL Technical Report

arXiv에 게시된 'Qwen3-VL Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Model #Multimodal Reasoning #Long-Context #Interleaved Data #Mixture-of-Experts #DeepStack #Agentic AI

2025년 12월 3일

[논문리뷰] DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

arXiv에 게시된 'DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Sparse Attention #Reinforcement Learning #Agentic AI #Tool Use #Open-source LLM #DeepSeek

2025년 12월 2일

[논문리뷰] Agentic Policy Optimization via Instruction-Policy Co-Evolution

arXiv에 게시된 'Agentic Policy Optimization via Instruction-Policy Co-Evolution' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Language Models #Instruction Optimization #Policy Co-Evolution #Agentic AI #Tool-Integrated Reasoning #Self-Reflection

2025년 12월 1일

[논문리뷰] Geometrically-Constrained Agent for Spatial Reasoning

Lehan He이 arXiv에 게시한 'Geometrically-Constrained Agent for Spatial Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Spatial Reasoning #Vision Language Models (VLMs)#Geometric Constraints #Agentic AI #Tool Integration #Semantic-to-Geometric Gap #Task Formalization

2025년 11월 30일

[논문리뷰] MIRA: Multimodal Iterative Reasoning Agent for Image Editing

Jiebo Luo이 arXiv에 게시한 'MIRA: Multimodal Iterative Reasoning Agent for Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Multimodal AI #Iterative Reasoning #Agentic AI #Reinforcement Learning #Diffusion Models #Vision-Language Models #Instruction Following

2025년 11월 27일

[논문리뷰] Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs

arXiv에 게시된 'Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Models (VLMs)#Reinforcement Learning (RL)#Tool-Integrated Reasoning (TIR)#Agentic AI #VQA #Training Environment #Behavioral Cloning #Policy Optimization

2025년 11월 25일

[논문리뷰] MedSAM3: Delving into Segment Anything with Medical Concepts

Yi Lu이 arXiv에 게시한 'MedSAM3: Delving into Segment Anything with Medical Concepts' 논문에 대한 자세한 리뷰입니다.

#Review #Medical Image Segmentation #Segment Anything Model (SAM)#Promptable Concept Segmentation (PCS)#Multimodal Large Language Models (MLLMs)#Agentic AI #Domain Adaptation #Text-guided Segmentation

2025년 11월 25일

[논문리뷰] Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution

Sudeep Pillai이 arXiv에 게시한 'Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Agent #Multimodal Perception #Tool-Augmented LLM #Agentic AI #Visual Reasoning #Computer Vision #Structured Outputs #ReAct Framework

2025년 11월 18일

[논문리뷰] P1: Mastering Physics Olympiads with Reinforcement Learning

Haiyuan Wan이 arXiv에 게시한 'P1: Mastering Physics Olympiads with Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Language Models #Physics Reasoning #Agentic AI #Olympiad Problems #Post-Training #Knowledge Transfer

2025년 11월 17일

[논문리뷰] MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism

arXiv에 게시된 'MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Reinforcement Learning #LLMs #Pipeline Parallelism #Reasoning #Reward Shaping #Agentic AI

2025년 11월 16일

[논문리뷰] DeepEyesV2: Toward Agentic Multimodal Model

Guohai Xu이 arXiv에 게시한 'DeepEyesV2: Toward Agentic Multimodal Model' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Multimodal Models #Tool Use #Reinforcement Learning #Supervised Fine-tuning #Multimodal Reasoning #Web Search #Code Execution

2025년 11월 9일

[논문리뷰] VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation

arXiv에 게시된 'VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal AI #Code Generation #SVG #Visual Representation #Benchmark #Large Vision-Language Models #Agentic AI #Reasoning

2025년 11월 9일

[논문리뷰] The Collaboration Gap

arXiv에 게시된 'The Collaboration Gap' 논문에 대한 자세한 리뷰입니다.

#Review #AI Collaboration #Multi-Agent Systems #Large Language Models (LLMs)#Maze Solving #Heterogeneous Agents #Collaboration Gap #Relay Inference #Agentic AI

2025년 11월 9일

[논문리뷰] Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

arXiv에 게시된 'Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Supervised Reinforcement Learning #LLMs #Multi-step Reasoning #Reward Shaping #Expert Trajectories #Math Reasoning #Agentic AI

2025년 10월 31일

[논문리뷰] SeeingEye: Agentic Information Flow Unlocks Multimodal Reasoning In Text-only LLMs

Jiaxuan You이 arXiv에 게시한 'SeeingEye: Agentic Information Flow Unlocks Multimodal Reasoning In Text-only LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Text-only LLM #Agentic AI #Information Flow #VQA #Structured Intermediate Representation #Decoupled Architecture #Tool Use

2025년 10월 30일

[논문리뷰] ParallelMuse: Agentic Parallel Thinking for Deep Information Seeking

arXiv에 게시된 'ParallelMuse: Agentic Parallel Thinking for Deep Information Seeking' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Parallel Thinking #Information Seeking #LLM Agents #Context Window Optimization #Exploration Efficiency #Reasoning Aggregation #Tool Use

2025년 10월 29일

[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] AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite

Bhavana Dalvi이 arXiv에 게시한 'AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite' 논문에 대한 자세한 리뷰입니다.

#Review #AI Agents #Benchmarking #Scientific Research #LLM Evaluation #Agentic AI #Tool Use #Reproducibility #Cost-Aware Evaluation

2025년 10월 27일

[논문리뷰] Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks

Xueyuan Lin이 arXiv에 게시한 'Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks' 논문에 대한 자세한 리뷰입니다.

#Review #Long-Horizon Tasks #Agentic AI #Context Curation #Working Memory #Reinforcement Learning #Policy Optimization #Large Language Models #Memory-as-Action

2025년 10월 15일

[논문리뷰] Understanding DeepResearch via Reports

Chengen Huang이 arXiv에 게시한 'Understanding DeepResearch via Reports' 논문에 대한 자세한 리뷰입니다.

#Review #DeepResearch Agents #LLM-as-a-Judge #Report Evaluation #Agentic AI #Factuality #Redundancy #Research Automation #Benchmark

2025년 10월 13일

[논문리뷰] Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Fenglu Hong이 arXiv에 게시한 'Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Context Adaptation #Agentic AI #Self-Improving Systems #Prompt Engineering #Context Management #Dynamic Playbooks #Incremental Learning

2025년 10월 7일

[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] 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] Towards General Agentic Intelligence via Environment Scaling

Guangyu Li이 arXiv에 게시한 'Towards General Agentic Intelligence via Environment Scaling' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Environment Scaling #Function Calling #Tool Use #Large Language Models #Synthetic Data Generation #Supervised Fine-tuning

2025년 9월 17일

[논문리뷰] The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs

Jonas Geiping이 arXiv에 게시한 'The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Long-Horizon Tasks #Execution Capability #Scaling Laws #Self-Conditioning #Thinking Models #Agentic AI

2025년 9월 15일

[논문리뷰] MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools

Xiaorui Wang이 arXiv에 게시한 'MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools' 논문에 대한 자세한 리뷰입니다.

#Review #Language Agents #Tool Use #Benchmarks #Model Context Protocol (MCP)#LLM Evaluation #Agentic AI #Real-World Performance

2025년 9월 15일

[논문리뷰] EnvX: Agentize Everything with Agentic AI

Wenzheng Tom Tang이 arXiv에 게시한 'EnvX: Agentize Everything with Agentic AI' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Multi-Agent Systems #Code Repository #Agentization #Natural Language Interaction #Agent-to-Agent Protocol #LLM-based Agents

2025년 9월 11일

[논문리뷰] A Survey of Reinforcement Learning for Large Reasoning Models

Runze Liu이 arXiv에 게시한 'A Survey of Reinforcement Learning for Large Reasoning Models' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Reasoning Models #LLMs #Reward Design #Policy Optimization #Verifiable Rewards #Agentic AI #Multimodal AI

2025년 9월 11일

[논문리뷰] Reinforcement Learning Foundations for Deep Research Systems: A Survey

Wei Han이 arXiv에 게시한 'Reinforcement Learning Foundations for Deep Research Systems: A Survey' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Deep Research Systems #Agentic AI #Tool Use #Hierarchical Agents #Reward Design #Multimodal AI #RL Frameworks

2025년 9월 9일

[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] Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery

Wenjie Zhou이 arXiv에 게시한 'Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery' 논문에 대한 자세한 리뷰입니다.

#Review #Physics Formula Discovery #Multimodal AI #Vision-Language Models #Symbolic Regression #Causal Chain of Thought #Reinforcement Learning #Agentic AI

2025년 9월 1일

[논문리뷰] A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Jiamin Wu이 arXiv에 게시한 'A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers' 논문에 대한 자세한 리뷰입니다.

#Review #Scientific LLMs #AI for Science #Scientific Data #Agentic AI #Multimodal Integration #Knowledge Representation #Autonomous Discovery #Data Ecosystems

2025년 9월 1일

[논문리뷰] AWorld: Orchestrating the Training Recipe for Agentic AI

Qintong Wu이 arXiv에 게시한 'AWorld: Orchestrating the Training Recipe for Agentic AI' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Reinforcement Learning #Distributed Systems #Experience Generation #LLM Fine-tuning #GAIA Benchmark #Scalability #AWORLD Framework

2025년 8월 29일

[논문리뷰] Explain Before You Answer: A Survey on Compositional Visual Reasoning

Xin Zheng이 arXiv에 게시한 'Explain Before You Answer: A Survey on Compositional Visual Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Compositional Visual Reasoning #Multimodal AI #Vision-Language Models #Large Language Models #Chain-of-Thought #Tool Learning #Agentic AI #Survey

2025년 8월 26일

[논문리뷰] From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery

zijieqiu이 arXiv에 게시한 'From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Autonomous Scientific Discovery #AI for Science #Large Language Models #Multi-agent Systems #Scientific Workflow Automation #Natural Sciences

2025년 8월 21일

[논문리뷰] SSRL: Self-Search Reinforcement Learning

Yanxu Chen이 arXiv에 게시한 'SSRL: Self-Search Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Language Models #Self-Search #Sim-to-Real Transfer #Agentic AI #Knowledge Retrieval #Reward Modeling

2025년 8월 18일

[논문리뷰] HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches

Qiang Ju이 arXiv에 게시한 'HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches' 논문에 대한 자세한 리뷰입니다.

#Review #Hierarchical Reinforcement Learning #Deep Search #Multi-source RAG #Agentic AI #Knowledge Integration #Enterprise Search #Large Reasoning Models

2025년 8월 13일

[논문리뷰] GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

GLM-4. 5 Team이 arXiv에 게시한 'GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Model #Mixture-of-Experts #Agentic AI #Reasoning #Code Generation #Reinforcement Learning #Foundation Model

2025년 8월 11일

[논문리뷰] DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning

Ziming Wang이 arXiv에 게시한 'DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Vision Language Models (VLMs)#Agentic AI #Physical Reasoning #Benchmark #Simulation Environments #Action Planning #Interactive AI

2025년 8월 8일