주제로 연구실 찾기

1. Yonsei·자연어처리·LLM

   김재형ML3 Lab

   관련도관련 논문 30편비중 65%연구 분야에 명시
   • 2026Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM JudgesICLR
   • 2026Auditing the Judge: Human-Grounded Bias Discovery, Quantification, and Mitigation in LLM JudgesNeurIPS
   • 2026CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain AdaptationEMNLP
2. Yonsei·머신러닝

   송경우MLAI Lab

   관련도관련 논문 26편비중 31%연구 분야에 명시
   • 2026Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language ModelsICML
   • 2026Multi-LLM Adaptive Conformal Inference for Reliable LLM ResponseICLR
   • 2026P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language ModelsICRA
3. Yonsei·자연어처리·LLM

   한요섭TOC Lab

   관련도관련 논문 13편비중 25%
   • 2026A Linguistics-Aware LLM Watermarking via Syntactic PredictabilityACL
   • 2026Linguistics-Aware Non-Distortionary LLM WatermarkingEMNLP
   • 2026Sequential Behavioral Watermarking for LLM AgentsNeurIPS
4. Yonsei·자연어처리·LLM

   이동하DLI Lab

   관련도관련 논문 14편비중 24%연구 분야에 명시
   • 2026BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic FeedbackICML
   • 2026RPM: Reasoning-Level Personalization for Black-Box Large Language ModelsICLR
   • 2025Can Large Language Models be Effective Online Opinion Miners?EMNLP
5. Yonsei·자연어처리·LLM

   여진영Language & AGI Lab

   관련도관련 논문 13편비중 26%연구 분야에 명시
   • 2026On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon LengthICML
   • 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuningNeurIPS
   • 2025LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical StudyACL
6. Yonsei·머신러닝

   한동준Edge AI Lab

   관련도관련 논문 9편비중 20%연구 분야에 명시
   • 2026Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-TrainingICML
   • 2026Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMsICML
   • 2026Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language ModelsICLR
7. Yonsei·머신러닝

   노승문AI-ISL

   관련도관련 논문 9편비중 24%
   • 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language ModelsICLR
   • 2026BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMsEMNLP
   • 2026Dependency-Aware Parallel Decoding via Attention for Diffusion LLMsICML
8. Yonsei·데이터 마이닝

   장백철ANDLab

   관련도관련 논문 8편비중 22%연구 분야에 명시
   • 2026“As Eastern Powers, I will veto”: An Investigation of Nation-level Bias of Large Language Models in International RelationsAAAI
   • 2026Multi-Test Nation Bias Benchmarking of LLMs with Explicit Unbiased BaselinesTACL
   • 2026Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMsEMNLP Findings
9. Yonsei·데이터 마이닝

   이경호ICL

   관련도관련 논문 8편비중 32%
   • 2026LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge ExtractionACL
   • 2026RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question AnsweringWWW
   • 2026VSPO: Validating Semantic Pitfalls in Ontology via LLM-Based CQ GenerationAAAI
10. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 8편비중 11%
    • 2026Diagnosing Spatial Consistency across Perspectives and Viewpoints in Large Vision-Language ModelsACL
    • 2026Injecting Context via Situation Working Memory for Logical Reasoning with LLMsACL
    • 2026Multi-Feature Quantized Self-Attention for Fair Large Language ModelsICLR
11. Yonsei·머신러닝

    손지용ITML Lab

    관련도관련 논문 6편비중 25%연구 분야에 명시
    • 2026How to Correctly Report LLM-as-a-Judge EvaluationsICML
    • 2025Aligning Large Language Models for Cognitive Behavioral Therapy: A Proof-of-Concept StudyFrontiers in Psychiatry
    • 2024Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and SummarizationJMIR Formative Research
12. Yonsei·컴퓨터 비전

    황성재MICV Lab

    관련도관련 논문 4편비중 9%연구 분야에 명시
    • 2026Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language ModelsICML
    • 2025PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation LearningMICCAI
    • 2025Your Large Vision-Language Model Only Needs A Few Attention Heads for Visual GroundingCVPR
13. Yonsei·머신러닝

    이기복Machine Learning Lab

    관련도관련 논문 3편비중 16%연구 분야에 명시
    • 2026Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix WeightingCVPR
    • 2026Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt PretrainingCVPR
    • 2024Partial Channel Dependence with Channel Masks for Time Series Foundation ModelsNeurIPS
14. Yonsei·머신러닝

    권태경AI Security Lab

    관련도관련 논문 5편비중 23%
    • 2026Chimera: Compositional Jailbreak Attacks on LLMs via Judgment-Driven Search over Heterogeneous StrategiesACL Findings
    • 2026TRACE: Traceable Retrieval-Augmented Criteria-based Evidence for Robust Vision-Language Model Safety GuardrailsACSAC
    • 2025Red-Teaming LLMs with Token Control Score: Efficient, Universal, and Transferable JailbreaksRAID
15. Yonsei·AI 시스템

    김상엽EASY Lab

    관련도관련 논문 3편비중 6%연구 분야에 명시
    • 2026NeuLPU: A 3.6 mW Spiking LLM Processing Unit for On-device Long-context InferenceA-SSCC
    • 2025A 4.69mW LLM Processor with Binary/Ternary Weights for Billion-Parameter Llama ModelHot Chips
    • 2024C-Transformer: A 2.6-18.1μJ/Token Homogeneous DNN-Transformer/Spiking-Transformer Processor with Big-Little Network and Implicit Weight Generation for Large Language ModelsISSCC
16. Yonsei·데이터 마이닝

    박상현DELAB

    관련도관련 논문 3편비중 6%
    • 2026SeleRT: Selective Retrieval of LLM Representations for Long-term Time Series ForecastingCIKM
    • 2025A study on Classification based Concurrent API Calls and Optimal Model Combination for Tool Augmented LLMs for AI AgentScientific Reports
    • 2025Protecting Medical Privacy with Pretrained Language Models: Named Entity Recognition-based De-identification in Korean Unstructured Electronic Medical Recordsnpj Health Systems
17. Yonsei·컴퓨터 비전

    오유진OMAEL

    관련도관련 논문 1편비중 9%연구 분야에 명시
    • 2024LLM-driven Multimodal Target Volume Contouring in Radiation OncologyNature Communications
18. Yonsei·AI 시스템

    김영석HPCP Lab

    관련도관련 논문 2편비중 7%
    • 2026DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline OptimizationSIGMOD
    • 2024Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real SystemHPCA
19. Yonsei·컴퓨터 비전

    김선주CIPLab

    관련도관련 논문 2편비중 4%
    • 2025Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMsICCV
    • 2025Open-ended Hierarchical Streaming Video Understanding with Vision Language ModelsICCV
20. Yonsei·로보틱스

    김태리로봇 지능 및 상호작용 연구실

    관련도관련 논문 1편비중 13%
    • 2026Navigation Explainability for Object Avoidance with LLMs for Assistive RobotsRO-MAN
21. Yonsei·AI 시스템

    박광현BDAI

    관련도관련 논문 1편비중 11%
    • 2026DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline OptimizationSIGMOD
22. Yonsei·머신러닝

    이종민DIL Lab

    관련도관련 논문 1편비중 7%
    • 2026Dynamic Context Allocation for Concurrent Multi-Agent LLMsEMNLP
23. Yonsei·로보틱스

    이용현RoPhi Lab

    관련도관련 논문 1편비중 5%
    • 2026Point2Act: Efficient 3D Distillation of Multimodal LLMs for Zero-Shot Context-Aware GraspingICRA
24. Yonsei·데이터 마이닝

    김하영MLCF Lab

    관련도관련 논문 1편비중 4%
    • 2026Can Multimodal Large Language Models Extract Investment Signals from Financial Charts? Evidence from Portfolio BacktestsFinance Research Letters
25. Yonsei·컴퓨터 비전

    전해곤Visual AI Lab

    관련도관련 논문 1편비중 2%
    • 2026Social Reasoning-Aware Trajectory Prediction via Multimodal Language ModelTPAMI
26. Yonsei·AI for Science2026 업데이트 중

    남호정BIIL

    관련도관련 논문 1편비중 8%
    • 2025AI-Guided Discovery and Optimization of Antimicrobial Peptides Through Species-Aware Language ModelBriefings in Bioinformatics
27. Yonsei·AI 시스템

    박성훈MAIS Lab

    관련도관련 논문 1편비중 8%
    • 2025ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented RealityMobiSys
28. Yonsei·AI 시스템

    차호정MOBED

    관련도관련 논문 1편비중 5%
    • 2025ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented RealityMobiSys

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.