주제로 연구실 찾기

1. Yonsei·자연어처리·LLM

   여진영Language & AGI Lab

   관련도관련 논문 12편비중 24%연구 분야에 명시
   • 2026AgenticShop: Benchmarking Agentic Product Curation for Personalized Web ShoppingWWW
   • 2026EMBGUARD: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied AgentsICML
   • 2026Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory UtilizationICLR
2. KAIST·머신러닝

   성영철SISReL

   관련도관련 논문 11편비중 31%연구 분야에 명시
   • 2026Addressing exogeneous variability in cooperative multi-agent reinforcement learningNeurIPS
   • 2026Generalized Per-Agent Advantage Estimation for Multi-Agent Policy OptimizationAAMAS
   • 2026MASTARS: Multi-agent sequential trajectory augmentation with return-conditioned subgoalsNeurIPS
3. KAIST·머신러닝

   황성주MLAI Lab

   관련도관련 논문 11편비중 11%
   • 2026Agent Explorative Policy Optimization for Multimodal Agentic ReasoningNeurIPS
   • 2026Memory Transfer Learning: How Memories are Transferred Across Domains in Coding AgentsEMNLP
   • 2026Multi-View Encoders for Performance Prediction in LLM-Based Agentic WorkflowsICLR
4. KAIST·데이터 마이닝

   박찬영DSAIL

   관련도관련 논문 8편비중 8%
   • 2026AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution TracesNeurIPS
   • 2026Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented AgentsICML
   • 2026IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared SpectraICLR
5. SNU·자연어처리·LLM

   조요한

   관련도관련 논문 6편비중 11%연구 분야에 명시
   • 2026ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?EMNLP
   • 2026In-N-Out: A Parameter-Level API Graph Dataset for Tool AgentsTACL
   • 2026Non-Collaborative User Simulators for Tool AgentsICLR
6. KAIST·머신러닝

   윤세영OSI Lab

   관련도관련 논문 11편비중 8%
   • 2026From Belief Entrenchment to Robust Reasoning in LLM AgentsTACL
   • 2026Learning to Comply: Workflow-Grounded Environment Generation for Training Procedurally Compliant AgentsCOLM
   • 2025FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement LearningICLR
7. Yonsei·자연어처리·LLM

   이동하DLI Lab

   관련도관련 논문 8편비중 14%
   • 2026AgenticShop: Benchmarking Agentic Product Curation for Personalized Web ShoppingWWW
   • 2026Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented AgentsICML
   • 2026PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent OptimizationNeurIPS
8. KAIST·머신러닝

   박진규System Intelligence Lab

   관련도관련 논문 6편비중 12%연구 분야에 명시
   • 2025Human Implicit Preference-Based Policy Fine-Tuning for Multi-Agent Reinforcement Learning in USV SwarmIROS
   • 2025Learning Strategy Representation for Imitation Learning in Multi-Agent GamesAAAI
   • 2025PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial OptimizationNeurIPS
9. KAIST·머신러닝

   문일철AAI Lab

   관련도관련 논문 5편비중 13%연구 분야에 명시
   • 2026Multi-agent Reinforcement Learning Considering Agent Priority for Weapon-Target AssignmentJournal of Aerospace Information Systems
   • 2025Trajectory-Class-Aware Multi-Agent Reinforcement LearningICLR
   • 2025Finance and Market Concentration Using Agent-Based Modeling: Evidence from South KoreaJournal of Artificial Societies and Social Simulation
10. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 7편비중 5%
    • 2026DoG: Sniffing Out Overconfidence in LLM Agents via Post-hoc Trajectory RestructuringNeurIPS
    • 2026DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended QueriesTMLR
    • 2026ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time ScalingNeurIPS
11. SNU·로보틱스

    오성회Robot Learning Lab

    관련도관련 논문 5편비중 12%연구 분야에 명시
    • 2026LF-Former: A Multi-Agent Policy with Ordered Decision Structures for Multi-Arm ManipulationIEEE RA-L
    • 2025Context-Aware Multi-Agent Trajectory TransformerIROS
    • 2025Multi-Agent Tsallis Actor-Critic for Autonomous Vehicle Fleet Coordination on Road Graph NetworksICCAS
12. KAIST·머신러닝

    안성진MLML

    관련도관련 논문 4편비중 13%연구 분야에 명시
    • 2026CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in CrafterNeurIPS
    • 2025MrSteve: Instruction-Following Agents in Minecraft with What-Where-When MemoryICLR
    • 2024Dr. Strategy: Model-Based Generalist Agents with Strategic DreamingICML
13. KAIST·인간-AI 상호작용

    김주호KIXLAB

    관련도관련 논문 7편비중 7%
    • 2026GUIDE: A Benchmark for Understanding and Assisting Users in Open-Ended GUI TasksCVPR
    • 2026ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational InteractionsIUI
    • 2025TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated StudentsCHI
14. KAIST·머신러닝

    이기민

    관련도관련 논문 6편비중 13%
    • 2026MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device ControlAAAI
    • 2026Unintended Misalignment from Agentic Fine-Tuning: Risks and MitigationAAAI
    • 2025Learning to Contextualize Web Pages for Enhanced Decision Making by LLM AgentsICLR
15. KAIST·AI for Science

    최윤재

    관련도관련 논문 5편비중 8%
    • 2026ECG-Agent: On-Device Tool-Calling Agent for ECG Multi-Turn DialogueICASSP
    • 2026From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database AgentsICLR
    • 2026H-AdminSim: A Multi-Agent Simulator for Realistic Hospital Administrative Workflows with FHIR IntegrationCHIL
16. SNU·자연어처리·LLM

    유영재PI Lab

    관련도관련 논문 6편비중 6%
    • 2026CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI AgentsCoRL
    • 2026SafeBranch: Branch-Pair Safety Alignment for Embodied AgentsEMNLP Findings
    • 2025Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based GamesACL
17. SNU·컴퓨터 비전

    최종현MPR Lab

    관련도관련 논문 6편비중 14%
    • 2026Modular Memory is the Key to Continual Learning AgentsICML
    • 2025Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few ExamplesAAAI
    • 2025Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic ReasoningCOLM
18. SNU·머신러닝

    장병탁BI Lab

    관련도관련 논문 6편비중 9%
    • 2026Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement LearningIEEE Access
    • 2026Can Embodied Agents Remember What You Said? Evaluating Dialogue-Grounded Embodied Memory in 3D EnvironmentsCVPR
    • 2025The Losing Winner: An LLM Agent that Predicts the Market but Loses MoneyNeurIPS
19. SNU·인간-AI 상호작용

    서봉원Human Centered Computing Lab

    관련도관련 논문 5편비중 10%
    • 2026Who Is Shopping With You? How Persona Design Shapes Cognitive and Social Engagement in AI Shopping AgentsSIGIR
    • 2025BleacherBot: AI Agent as a Sports Co-Viewing PartnerCHI
    • 2025Cinema Multiverse Lounge: Enhancing Film Appreciation via Multi-Agent ConversationsCHI
20. KAIST·머신러닝

    오성준STAI Lab

    관련도관련 논문 2편비중 4%연구 분야에 명시
    • 2026Lost in Communication: Uncertainty Propagation in Multi-Agent SystemsICML
    • 2026MASEval: Extending Multi-Agent Evaluation from Models to SystemsACL
21. SNU·자연어처리·LLM

    황승원LDI Lab

    관련도관련 논문 5편비중 7%
    • 2026Dual-Scale World Memory for LLM Agents towards Hard-Exploration ProblemsICLR
    • 2026Agentic Verification for Ambiguous Query DisambiguationACL Findings
    • 2025Agent-as-Judge for Factual Summarization of Long NarrativesEMNLP
22. KAIST·머신러닝

    김기응AIPR Lab

    관련도관련 논문 4편비중 15%
    • 2026Dynamic Context Allocation for Concurrent Multi-Agent LLMsEMNLP
    • 2026ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement LearningRLC
    • 2026Same Tasks, Different Apps: Why Mobile GUI Agents Fail to Generalize?EMNLP Findings
23. KU·머신러닝

    이병준Decision Making Lab

    관련도관련 논문 2편비중 6%연구 분야에 명시
    • 2026TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement LearningICML
    • 2024MARS: Multi-Agent Reinforcement Learning for Spatial-Spectral and Temporal Feature Selection in EEG-based BCIIEEE TSMC
24. SNU·데이터 마이닝

    박현우DIAL Lab

    관련도관련 논문 3편비중 8%
    • 2026Faithful yet Collusive: Why Chain-of-Thought Monitoring Cannot Detect Collusion in LLM Pricing Agents under Oligopolistic CompetitionEMNLP Findings
    • 2026Diagnosing Failure Modes in MCP Tool-Using Agents: A Stage-Aware Taxonomy and Evidence-Gap InterventionsICML
    • 2026Market Signal Injection: Adversarial Context Manipulation of LLM Pricing AgentsEMNLP
25. SNU·AI for Science

    이동헌BiLab

    관련도관련 논문 3편비중 6%
    • 2026An Interactive LVM–LLM Agent for Dementia Screening: Towards Clinical Translation of Explainable AIECR
    • 2026LongCXR-Agent: Query-Driven Tool Selection for Longitudinal Chest X-ray ReasoningMICCAI
    • 2026When to Request and Whether to Trust: A Two-Decision Imaging Agent for Pleural Effusion AssessmentMICCAI
26. KU·AI for Science

    감태의Medical AI Lab

    관련도관련 논문 4편비중 6%
    • 2026Agentic Brain: Agentic AI System for Autonomous Diagnosis of Functional Connectivity NetworkICEIC
    • 2026Cooperative Multi-Agent Reinforcement Learning for Wind Turbine Control in Renewable EnergyICCE
    • 2024MARS: Multi-Agent Reinforcement Learning for Spatial-Spectral and Temporal Feature Selection in EEG-based BCIIEEE TSMC
27. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 3편비중 4%
    • 2026AgentGrad: Intervention-guided Prompt Optimization for Multi Agent SystemsNeurIPS
    • 2026SkillCombiner: Optimizing Agent Skills via Edit Combination SearchEMNLP
    • 2026SVMemAgent: A Streaming Video Memory Agent for Query-Agnostic Online Frame SelectionECCV
28. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 3편비중 3%
    • 2026IGG: A Benchmark for Interactive GUI Grounding under Visibility ConstraintsEMNLP
    • 2026Spatially Stable GUI Grounding via Zoom Consistency LossICML
    • 2026When GUI Grounding Fails: Entropy-Based Analysis and Training-Free RefinementICML
29. Yonsei·컴퓨터 비전

    오유진OMAEL

    관련도관련 논문 1편비중 9%연구 분야에 명시
    • 2026CoMMa: Contribution-Aware Medical Multi-Agents for Decentralized Oncology Decision SupportNeurIPS
30. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 3편비중 3%
    • 2026Agentic Model Predictive Questioning Control in Visual DesignICML
    • 2026Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering SystemsEMNLP
    • 2026The Interplay of Harness Design and Post-Training in LLM AgentsEMNLP Findings
31. Yonsei·데이터 마이닝

    장백철ANDLab

    관련도관련 논문 1편비중 3%연구 분야에 명시
    • 2026Tool-MAD: A Multi-Agent Debate Framework for Fact Verification with Diverse Tool Augmentation and Adaptive RetrievalIEEE Access
32. Yonsei·머신러닝

    송경우MLAI Lab

    관련도관련 논문 1편비중 1%연구 분야에 명시
    • 2026BaRA: BFS-and-Reflection Web Data Collection AgentICML
33. Yonsei·머신러닝

    이종민DIL Lab

    관련도관련 논문 3편비중 20%
    • 2026Dynamic Context Allocation for Concurrent Multi-Agent LLMsEMNLP
    • 2026ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement LearningRLC
    • 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction EstimationNeurIPS
34. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 3편비중 3%
    • 2026Toward a Science of AI Agent SocietiesKDD
    • 2026ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM AgentsWWW
    • 2025TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model AgentsAAAI
35. KAIST·AI 시스템2026 업데이트 중

    김세훈SEAL

    관련도관련 논문 1편비중 7%연구 분야에 명시
    • 2025Plan-and-Act: Improving Planning of Agents for Long-Horizon TasksICML
36. SNU·로보틱스

    김현진LARR Lab

    관련도관련 논문 5편비중 6%
    • 2025DMVC-Tracker: Distributed Multi-Agent Trajectory Planning for Target Tracking Using Dynamic Buffered Voronoi and Inter-Visibility CellsIEEE RA-L
    • 2025Learning to Cooperate in Multi-Agent Aerial Operations by Enlarging Teammates’ Future OptionAPISAT
    • 2023DLSC: Distributed Multi-Agent Trajectory Planning in Maze-like Dynamic Environments using Linear Safe CorridorIEEE T-RO
37. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 3편비중 4%
    • 2026EMR-AGENT: An LLM Agent Framework for Cohort and Feature Extraction from Heterogeneous EHR DatabasesEMNLP Findings
    • 2025R-VLM: Region-Aware Vision Language Model for Precise GUI GroundingACL Findings
    • 2025Taxonomy of Comprehensive Safety for Clinical AgentsEMNLP
38. POSTECH·자연어처리·LLM

    이근배, 김형훈NLP Lab

    관련도관련 논문 3편비중 4%
    • 2026A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item GenerationACL
    • 2025PanicToCalm: A Proactive Counseling Agent for Panic AttacksEMNLP
    • 2024Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue AgentsNAACL Findings
39. KAIST·데이터 마이닝

    황지영Big Data Intelligence Lab

    관련도관련 논문 2편비중 10%
    • 2026Ask KG Agent: A Multi-Agent Framework for Code Localization Using Code and Knowledge GraphsNeurIPS
    • 2026Bridging Concepts: Multi-Agent Reasoning over Scientific Concept Graphs for High-Impact Research PredictionCIKM
40. KAIST·AI 시스템

    유민수VIA Research Group

    관련도관련 논문 2편비중 7%
    • 2026Agent-X: Full Pipeline Acceleration of On-device AI AgentsMobiSys
    • 2026The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure PerspectiveHPCA
41. POSTECH·데이터 마이닝

    한욱신Data Systems Lab

    관련도관련 논문 2편비중 7%
    • 2026AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution TracesNeurIPS
    • 2026FAILURE IS FEEDBACK: History-Aware Backtracking for Agentic Traversal in Multimodal GraphsICML
42. KU·머신러닝

    김성웅, 임성빈AGI Lab

    관련도관련 논문 2편비중 6%
    • 2026MolDesignBench: Evaluating LLM-based Agent for Scenario-grounded Molecular DesignCOLM
    • 2026ORCA: ORchestrating Causal AgentCHI
43. KU·자연어처리·LLM

    임희석NLP&AI Lab

    관련도관련 논문 3편비중 3%
    • 2026No Reader Left Behind: Multi-Agent Summaries Everyone Can UnderstandACL
    • 2025CharacterGPT: A Persona Reconstruction Framework for Role-Playing AgentsNAACL
    • 2023Beyond Candidates : Adaptive Dialogue Agent Utilizing Persona and KnowledgeEMNLP Findings
44. KAIST·데이터 마이닝

    이재길Data Mining Lab

    관련도관련 논문 2편비중 5%
    • 2026Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR BenchmarksICLR
    • 2026See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data SynthesisCVPR
45. KAIST·자연어처리·LLM

    김현우COCO Lab

    관련도연구 분야에 명시
46. POSTECH·인간-AI 상호작용2026 업데이트 중

    조은경Health & HCI Lab

    관련도연구 분야에 명시
47. KU·자연어처리·LLM

    정우환Autonomous AI Lab

    관련도연구 분야에 명시
48. SNU·인간-AI 상호작용2026 업데이트 중

    이준환HCI+D Lab

    관련도관련 논문 3편비중 11%
    • 2025Letters from Future Self: Augmenting the Letter-Exchange Exercise with LLM-based Agents to Enhance Young Adults’ Career ExplorationCHI
    • 2025SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based AgentNAACL
    • 2023Investigating Day-to-day Experiences with Conversational Agents by Users with Traumatic Brain InjuryASSETS
49. SNU·컴퓨터 비전

    김건희Vision & Learning Lab

    관련도관련 논문 2편비중 4%
    • 2026Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data SelectionICML
    • 2025FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure GamesEMNLP
50. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 2편비중 1%
    • 2026ReDesign: Recovering Editable Design Structures from Raster Images via Agentic DecompositionECCV
    • 2025Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity InformationEMNLP
51. SNU·인간-AI 상호작용

    권가진CC Lab

    관련도관련 논문 2편비중 9%
    • 2026Cognitive and emotional engagement design factors in text-based pedagogical conversational agents: Impacts on student learning and motivationInternational Journal of Human-Computer Studies
    • 2024Minimal Yet Big Impact: How AI Agent Back-channeling Enhances Conversational Engagement through Conversation Persistence and Context RichnessEMNLP Findings
52. KAIST·머신러닝

    안성수SPML Lab

    관련도관련 논문 2편비중 4%
    • 2025Enhancing LLM Agent Safety via Causal Influence PromptingACL
    • 2025MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular OptimizationEMNLP
53. Yonsei·AI 시스템

    김상엽EASY Lab

    관련도관련 논문 2편비중 4%
    • 2025BROCA: A 52.4-559.2mW Mobile Social Agent System-on-Chip with Adaptive-Bit-Truncate Unit and Acoustic-Cluster Bit-GroupingISSCC
    • 2025BROCA: A Low-power and Low-latency Conversational Agent RISC-V System-on-Chip for Voice-interactive Mobile DevicesHot Chips
54. KAIST·머신러닝

    정송

    관련도관련 논문 2편비중 15%
    • 2025MA^2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-EncoderICLR
    • 2023The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors without Precise Reward FunctionsIEEE Access
55. SNU·머신러닝

    송현오Machine Learning Lab

    관련도관련 논문 1편비중 6%
    • 2026Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test GenerationICML
56. POSTECH·머신러닝

    박상돈Trustworthy ML Lab

    관련도관련 논문 1편비중 5%
    • 2026The Interplay of Harness Design and Post-Training in LLM AgentsEMNLP Findings
57. Yonsei·로보틱스

    최종은MLCS Lab

    관련도관련 논문 1편비중 5%
    • 2026OntoPlan: An Ontology-Grounded Scene Representation and Agentic Framework for Scalable Robot Task PlanningNeurIPS
58. SNU·컴퓨터 비전

    김영민3D Vision Lab

    관련도관련 논문 2편비중 4%
    • 2024ASIMO: Agent-centric Scene representation In Multi-Object manipulationIJRR
    • 2024Multi-agent Exploration with Similarity Score Map and Topological MemoryIEEE RA-L
59. SNU·자연어처리·LLM

    이재윤SKI-ML Lab

    관련도관련 논문 1편비중 4%
    • 2026OBJECTION! Lawyer Agents Mitigate Guilty Bias in Legal Judgment PredictionEMNLP
60. SNU·컴퓨터 비전

    주한별VC Lab

    관련도관련 논문 1편비중 4%
    • 2026Text-Guided 6D Object Pose Rearrangement via Closed-Loop VLM AgentsECCV

+33

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.