거대 언어모델

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

1. Yonsei·자연어처리·LLM

   김재형ML3 Lab

   관련 논문 30편비중 65%연구 분야에 명시
   • 2026Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges ICLR
   • 2026Auditing the Judge: Human-Grounded Bias Discovery, Quantification, and Mitigation in LLM Judges NeurIPS
   • 2026CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation EMNLP
2. KU·자연어처리·LLM

   임희석NLP&AI Lab

   관련 논문 38편비중 39%연구 분야에 명시
   • 2026M3DocDep: Multi-modal, Multi-page, Multi-document Dependency Chunking with Large Vision-Language Models CVPR
   • 2026Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation ACL
   • 2026Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses ACL
3. KAIST·자연어처리·LLM

   오혜연U&I Lab

   관련 논문 35편비중 44%
   • 2026Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean Dialogues ACL
   • 2026Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub NeurIPS
   • 2026Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs EMNLP
4. KAIST·머신러닝

   윤세영OSI Lab

   관련 논문 36편비중 25%
   • 2026From Belief Entrenchment to Robust Reasoning in LLM Agents TACL
   • 2026Group-Normalized Implicit Value Optimization for Language Models ICLR
   • 2026Hybrid Architectures for Language Models: Systematic Analysis and Design Insights TMLR
5. KAIST·인간-AI 상호작용

   김주호KIXLAB

   관련 논문 33편비중 34%
   • 2026Authorship Drift: How Self-Efficacy and Trust Evolve During LLM-Assisted Writing CHI
   • 2026CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface Design AAAI
   • 2026Evalet: Evaluating Large Language Models by Fragmenting Outputs into Functions CHI
6. Yonsei·머신러닝

   송경우MLAI Lab

   관련 논문 26편비중 31%연구 분야에 명시
   • 2026Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models ICML
   • 2026Multi-LLM Adaptive Conformal Inference for Reliable LLM Response ICLR
   • 2026P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models ICRA
7. SNU·자연어처리·LLM

   조요한

   관련 논문 21편비중 38%연구 분야에 명시
   • 2026Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions ICML
   • 2026Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models ACL
   • 2026Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in LLMs ICML
8. SNU·자연어처리·LLM

   정교민MI Lab

   관련 논문 24편비중 32%연구 분야에 명시
   • 2026Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoning EMNLP
   • 2026How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models ACL
   • 2026Language Shapes Instruction Hierarchy Compliance in Multilingual LLMs EMNLP
9. KAIST·머신러닝

   황성주MLAI Lab

   관련 논문 27편비중 26%
   • 2026It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs NeurIPS
   • 2026LS-Merge: Merging Language Models in Latent Space ICLR
   • 2026Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows ICLR
10. SNU·자연어처리·LLM

    유영재PI Lab

    관련 논문 26편비중 27%
    • 2026Do Language Models Associate Sound with Meaning? A Multimodal Study of Sound Symbolism AAAI
    • 2026Investigating Counterfactual Unfairness in LLMs towards Identities through Humor ACL
    • 2026Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs NeurIPS
11. KAIST·머신러닝

    양은호MLI Lab

    관련 논문 20편비중 25%
    • 2026LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs ICML
    • 2026No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping ICLR
    • 2026When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling ICLR
12. KAIST·자연어처리·LLM

    서민준LK Lab

    관련 논문 28편비중 42%
    • 2026Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams ACL
    • 2026Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models ICML
    • 2025How Does Vision-Language Adaptation Impact the Safety of Vision Language Models? ICLR
13. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 18편비중 15%연구 분야에 명시
    • 2026AdaBoosting Text Prompts for Vision-Language Models ECCV
    • 2026In-Place Feedback: Reliable Refinement for Multi-Turn Expert-LLM Collaboration EMNLP
    • 2026LLM Watermark Evasion via Bias Inversion ICML
14. KAIST·데이터 마이닝

    박찬영DSAIL

    관련 논문 18편비중 18%
    • 2026A Behavioral Trait Leaks into Preferences: Diagnosing Trait Interference in LLM User Simulators CIKM
    • 2026A Structured LLM Framework for Inorganic Material Synthesis Planning NeurIPS
    • 2026CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs ICLR
15. KAIST·AI 시스템

    김주영CAST Lab

    관련 논문 15편비중 22%연구 분야에 명시
    • 2026Adelia: A 4-nm LLM Processing Unit with Streamlined Dataflow and Dual-Mode Parallelism for Maximizing Hardware Efficiency JSSC
    • 2026Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative Decoding ISCA
    • 2026Distance Is Not Enough: Forget-Retain Alignment Gap Predicts LLM Relearning Robustness EMNLP
16. KAIST·컴퓨터 비전

    노용만IVY Lab

    관련 논문 15편비중 20%연구 분야에 명시
    • 2026A Causal Lens on Non-RGB Vision Sensor Understanding in Vision Language Models IEEE TIP
    • 2026Diffusion Large Language Models for Visual Speech Recognition EMNLP
    • 2026Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale Verifier AAAI
17. SNU·인간-AI 상호작용

    강민석

    관련 논문 12편비중 55%연구 분야에 명시
    • 2026COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs ACL
    • 2026Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior CHI
    • 2026Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models ICLR
18. SNU·머신러닝

    윤성로AI Lab

    관련 논문 18편비중 17%
    • 2026Contextualized Visual Personalization in Vision-Language Models ICML
    • 2026Heads That Write, Not Just Point: Image Retrieval Heads in Vision-Language Models NeurIPS
    • 2026Time-Conditioned Foreseeing: An EHR-Specific Foundation Model for Irregular Dynamics and Calendrical Time ICML
19. SNU·머신러닝

    김태섭LAAL Lab

    관련 논문 13편비중 34%
    • 2026EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs ACL
    • 2026From Noise to Diversity: Random Embedding Injection in LLM Reasoning NeurIPS
    • 2026Garbage attention in large language models: Bos sink heads and sink-aware pruning EMNLP
20. KU·자연어처리·LLM

    이상근Data Intelligence Lab

    관련 논문 13편비중 37%연구 분야에 명시
    • 2026Chronos: Chronology-Grounded Continued Pre-training for Language Model Adaptation to Materials Science EMNLP
    • 2026KnowProxy: Adapting Large Language Models by Knowledge-guided Proxy ICLR
    • 2026MolSC: Leveraging Substituent Contributions to Enhance Fine-grained Molecular Understanding in LLMs EMNLP
21. KAIST·머신러닝

    신진우ALIN Lab

    관련 논문 21편비중 16%
    • 2026DoG: Sniffing Out Overconfidence in LLM Agents via Post-hoc Trajectory Restructuring NeurIPS
    • 2026Vision-aligned Latent Reasoning for Multi-Modal Large Language Model ICML
    • 2026Correct Answers from Sound Reasoning: Verifiable Process Supervision for Language Models COLM
22. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 16편비중 12%
    • 2026A Dual-Expert Strategy Integrating LLMs to Mitigate Negative Transfer in Cross-Domain Sequential Recommendation CIKM
    • 2026ExpGuard: LLM Content Moderation in Specialized Domains ICLR
    • 2026More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences ICLR
23. Yonsei·자연어처리·LLM

    한요섭TOC Lab

    관련 논문 13편비중 25%
    • 2026A Linguistics-Aware LLM Watermarking via Syntactic Predictability ACL
    • 2026Linguistics-Aware Non-Distortionary LLM Watermarking EMNLP
    • 2026Sequential Behavioral Watermarking for LLM Agents NeurIPS
24. Yonsei·자연어처리·LLM

    이동하DLI Lab

    관련 논문 14편비중 24%연구 분야에 명시
    • 2026BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback ICML
    • 2026RPM: Reasoning-Level Personalization for Black-Box Large Language Models ICLR
    • 2025Can Large Language Models be Effective Online Opinion Miners? EMNLP
25. POSTECH·자연어처리·LLM

    이근배, 김형훈NLP Lab

    관련 논문 13편비중 16%
    • 2026Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items? ACL
    • 2026Knowing What Not to Answer: Selective Non-Compliance in Vision-Language Models EMNLP
    • 2026Merging Triggers, Breaking Backdoors: Defensive Poisoning for Instruction-Tuned Language Models ACL
26. KAIST·음성·오디오

    정준선Multimodal AI Lab

    관련 논문 13편비중 14%
    • 2026Acoustic Prompting via Stage-wise Modulation for Few-Shot Learning in Audio Language Models INTERSPEECH
    • 2026FastAV: Efficient Token Pruning for Audio-Visual Large Language Model Inference ICASSP
    • 2026Hear you are: Teaching LLMs Spatial Reasoning with Vision and Spatial Sound CVPR
27. Yonsei·자연어처리·LLM

    여진영Language & AGI Lab

    관련 논문 13편비중 26%연구 분야에 명시
    • 2026On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length ICML
    • 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning NeurIPS
    • 2025LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study ACL
28. KAIST·머신러닝

    오성준STAI Lab

    관련 논문 11편비중 24%연구 분야에 명시
    • 2026Dr.LLM: Dynamic Layer Routing for LLMs ICLR
    • 2026It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs NeurIPS
    • 2026Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models ACL
29. Yonsei·머신러닝

    한동준Edge AI Lab

    관련 논문 9편비중 20%연구 분야에 명시
    • 2026Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training ICML
    • 2026Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs ICML
    • 2026Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models ICLR
30. SNU·AI 시스템

    김재준VLSI Lab

    관련 논문 11편비중 22%연구 분야에 명시
    • 2026LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents ICML
    • 2026PRESTE: Preserving Tiny Exponent Precision for Efficient Sub-8-bit LLM Inference and Fine-Tuning ICCAD
    • 2026QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models ICLR
31. POSTECH·머신러닝

    이재호EffL Lab

    관련 논문 11편비중 29%
    • 2026AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing? ICASSP
    • 2026Understanding the Effects of Distractors on Reasoning Vision-Language Models EMNLP
    • 2026IterQuant: Iterative Quantization Framework for Mixed-Precision LLM Compression DATE
32. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련 논문 11편비중 10%
    • 20264DP-QA: Scalable QA for 4D Perception in Vision Language Models CVPR
    • 2026Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models ECCV
    • 2026Geometric Latent Diffusion: Repurposing Geometric Foundation Models for Multi-view Diffusion ECCV
33. SNU·자연어처리·LLM

    도재영AIDAS Lab

    관련 논문 9편비중 28%연구 분야에 명시
    • 2026MatKV: Trading Compute for Flash Storage in LLM Inference ICDE
    • 2026Medic-AD: Towards Medical Vision-Language Model's Clinical Intelligence CVPR
    • 2026Unified Static–Dynamic Pruning for Efficient LLM Inference VLDB
34. Yonsei·머신러닝

    노승문AI-ISL

    관련 논문 9편비중 24%
    • 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models ICLR
    • 2026BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs EMNLP
    • 2026Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs ICML
35. KAIST·자연어처리·LLM

    임경태MLP Lab

    관련 논문 8편비중 21%연구 분야에 명시
    • 2026Distribution-aware Language Neuron Identification in Multilingual Large Language Models EMNLP
    • 2026Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives ACL
    • 2026Beyond Black Boxes: Explainable Face Anti-Spoofing with Vision-Language Models Scientific Reports
36. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련 논문 12편비중 12%
    • 2026Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow CVPR
    • 2026Hear, Localize, and Reason: Spatially Aware Scene Understanding for Audio-visual LLMs NeurIPS
    • 2026SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter ACL
37. Yonsei·데이터 마이닝

    장백철ANDLab

    관련 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 Relations AAAI
    • 2026Multi-Test Nation Bias Benchmarking of LLMs with Explicit Unbiased Baselines TACL
    • 2026Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs EMNLP Findings
38. KU·머신러닝

    이성환PRML Lab

    관련 논문 12편비중 7%
    • 2026Generation-Drift-Guided Block Pruning for Large Language Models NeurIPS
    • 2026Conditioning Activation Interventions on Evolving Reasoning States in Large Language Models EMNLP Findings
    • 2026From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model IEEE TMM
39. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련 논문 10편비중 11%
    • 2026Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models RecSys
    • 2026Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation WWW
    • 2026Zero-Shot Tabular Learning via Hypergraph Reasoning with LLMs EMNLP
40. Yonsei·데이터 마이닝

    이경호ICL

    관련 논문 8편비중 32%
    • 2026LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction ACL
    • 2026RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering WWW
    • 2026VSPO: Validating Semantic Pitfalls in Ontology via LLM-Based CQ Generation AAAI
41. KAIST·자연어처리·LLM

    김현우COCO Lab

    관련 논문 8편비중 42%연구 분야에 명시
    • 2026SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs ICLR
    • 2026XYBench: Can LLMs Respond Pragmatically to Queries with Misconceptions? EMNLP
    • 2025Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs NAACL
42. SNU·AI for Science

    이동헌BiLab

    관련 논문 9편비중 18%
    • 2026Prediction of Left Ventricular Systolic Dysfunction in Left Bundle Branch Block using a Fine-Tuned ECG Foundation Model Scientific Reports
    • 2026An Interactive LVM–LLM Agent for Dementia Screening: Towards Clinical Translation of Explainable AI ECR
    • 2026Generating the radiologist’s first pass: Can one vision-language model screen multi-site, multi-sequence MRI across the whole body? ECR
43. POSTECH·머신러닝

    이남훈Computational Optimization Lab

    관련 논문 8편비중 31%
    • 2026Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity EMNLP
    • 2026Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL
    • 2026The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM ICLR
44. KAIST·AI for Science

    최윤재

    관련 논문 12편비중 19%
    • 2026Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry MLHC
    • 2026Large Language Model–Generated Expansion of the RadLex Ontology: Application to Multinational Datasets of Chest CT Reports American Journal of Roentgenology
    • 2025Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning NAACL
45. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련 논문 10편비중 14%연구 분야에 명시
    • 2026Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration AAAI
    • 2026MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models CVPR
    • 2026Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization AAAI
46. SNU·인간-AI 상호작용

    서봉원Human Centered Computing Lab

    관련 논문 8편비중 16%연구 분야에 명시
    • 2026CodeVoyager: Integrating Interactive Visual Aids with LLMs for Code Comprehension IUI
    • 2026DEBSIM: Productive Friction for Learning Transfer in LLM-Based Argumentation Tutoring ITS
    • 2026Supporting or Hindering? Understanding the Divergent Effects of LLM Assistance on Critical Thinking in Academic Reading CHI
47. SNU·AI 시스템

    이재욱ARC Lab

    관련 논문 9편비중 28%
    • 2026MAGE: All-[MASK] Block Already Knows Where to Look in Block Diffusion LLM NeurIPS
    • 2026SpareTrain: Fault-Tolerant LLM Training via Low-Cost Dual Modular Redundancy ICLR
    • 2025DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization OSDI
48. SNU·자연어처리·LLM

    황승원LDI Lab

    관련 논문 9편비중 13%연구 분야에 명시
    • 2026Dual-Scale World Memory for LLM Agents towards Hard-Exploration Problems ICLR
    • 2026SAFE: An LLM-as-Verifier Framework for Evidence-Grounded Multi-Hop Reasoning EMNLP
    • 2025Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models ACL
49. KAIST·머신러닝

    이주호SIML Lab

    관련 논문 9편비중 11%
    • 2026Confidence is not universal: task-dependent calibration and emergent behavior in LLMs ICML
    • 2026From drift to coherence: stabilizing beliefs in LLMs ICML
    • 2026SAVE: sparsity-aware influence estimation for vocabulary-expanded LLMs NeurIPS
50. SNU·데이터 마이닝

    강필성DSBA Lab

    관련 논문 10편비중 24%
    • 2026AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs ICML
    • 2026Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model Engineering Applications of Artificial Intelligence
    • 2026CEREAL: Personality-Driven LLM-based Conversational Recommendation Dataset with Contextually-Enriched and Realistic User Interactions Multimedia Tools and Applications
51. SNU·컴퓨터 비전

    김건희Vision & Learning Lab

    관련 논문 12편비중 21%
    • 2026WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations ACL Findings
    • 2025Behavior-SD: Behaviorally Aware Spoken Dialogue Generation with Large Language Models NAACL
    • 2025Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates ACL
52. SNU·머신러닝

    송현오Machine Learning Lab

    관련 논문 6편비중 38%연구 분야에 명시
    • 2026Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs EMNLP
    • 2026Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test Generation ICML
    • 2025GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance ICML
53. Yonsei·머신러닝

    조성배SCLAB

    관련 논문 8편비중 11%
    • 2026Diagnosing Spatial Consistency across Perspectives and Viewpoints in Large Vision-Language Models ACL
    • 2026Injecting Context via Situation Working Memory for Logical Reasoning with LLMs ACL
    • 2026Multi-Feature Quantized Self-Attention for Fair Large Language Models ICLR
54. KAIST·머신러닝

    이기민

    관련 논문 9편비중 20%
    • 2026Entropy-Aware On-Policy Distillation of Language Models ICML
    • 2026Adversarial Iterative Unit Test Generation with Large Language Models ICLR
    • 2025Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents ICLR
55. SNU·인간-AI 상호작용

    서진욱Human-Computer Interaction Lab

    관련 논문 10편비중 18%
    • 2026Good Fences Make Good Learning: How Self-Directed Language Learners Navigate LLM Delegation Decisions CHI
    • 2026Penquiry: A Pen-based Interactive In-situ Q&A System Leveraging LLMs UIST
    • 2025Leveraging Multimodal LLM for Inspirational User Interface Search CHI
56. SNU·AI 시스템

    안정호SCALable Computer Architecture Lab

    관련 논문 6편비중 13%연구 분야에 명시
    • 2026DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention ICML
    • 2026LILo: Harnessing the On-chip Accelerators in Intel CPUs for Compressed LLM Inference Acceleration HPCA
    • 2026RoMe: Row Granularity Access Memory System for Large Language Models HPCA
57. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련 논문 6편비중 16%
    • 2026Flock: A Knowledge Graph Foundation Model via Learning on Random Walks ICLR
    • 2026Flow Map Language Models: One-step Language Modeling via Continuous Denoising NeurIPS
    • 2026Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models NeurIPS
58. POSTECH·머신러닝

    박상돈Trustworthy ML Lab

    관련 논문 6편비중 27%
    • 2026LLM Watermark Evasion via Bias Inversion ICML
    • 2026MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment NeurIPS
    • 2026The Illusion of Rust Safety: Detecting Modular Unsafe Functions with LLMs CCS
59. KAIST·데이터 마이닝

    이재길Data Mining Lab

    관련 논문 7편비중 18%
    • 2026Compositional Spectral Prompts for LLM-based Online Time Series Forecasting CIKM
    • 2026CURE: Cumulative Knowledge Reuse for Efficient Device-Server Hybrid Inference in Vision-Language Models ECCV
    • 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models ICML
60. SNU·AI 시스템

    이재진THUNDER Research Group

    관련 논문 5편비중 26%연구 분야에 명시
    • 2026Thunder-NUbench: A benchmark for LLMs’ sentence-level negation understanding EACL Findings
    • 2025KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models EMNLP
    • 2025Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs EMNLP Findings
61. SNU·AI 시스템

    이진호AISys Lab

    관련 논문 5편비중 13%연구 분야에 명시
    • 2026A Cost-Effective Near-Storage Processing Solution for Offline Inference of Long-Context LLMs ASPLOS
    • 2026CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents EMNLP
    • 2026Spexis: Speculative Lookahead Scheduling for LLM Inference EMNLP
62. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련 논문 7편비중 8%
    • 2026Fractional Power-of-Two Quantization for Efficient and Effective Multiplier-Free LLM Inference NeurIPS
    • 2026MoARa: Module-Aware Rank Allocation and Structure-Preserving Decomposition for Low-Rank LLM Pre-training EMNLP
    • 2026ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation ICML
63. Yonsei·머신러닝

    손지용ITML Lab

    관련 논문 6편비중 25%연구 분야에 명시
    • 2026How to Correctly Report LLM-as-a-Judge Evaluations ICML
    • 2025Aligning Large Language Models for Cognitive Behavioral Therapy: A Proof-of-Concept Study Frontiers in Psychiatry
    • 2024Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization JMIR Formative Research
64. SNU·자연어처리·LLM

    이상구IDS Lab

    관련 논문 7편비중 44%
    • 2026CUB: Benchmarking Context Utilisation Techniques for Language Models ACL
    • 2026Task-aware Block Pruning with Output Distribution Signals for Large Language Models EACL Findings
    • 2025A Dual-Layered Evaluation of Geopolitical and Cultural Bias in LLMs ACL
65. KAIST·데이터 마이닝

    황의종Data Intelligence Lab

    관련 논문 4편비중 17%연구 분야에 명시
    • 2026Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models ICLR
    • 2026DeFrame: Debiasing Large Language Models Against Framing Effects ACL Findings
    • 2026Classroom AI: Large Language Models as Grade-Specific Teachers npj Artificial Intelligence
66. SNU·데이터 마이닝

    박현우DIAL Lab

    관련 논문 6편비중 16%
    • 2026Great Grave: Modeling Versioned Context Units for Longitudinal LLM Interaction UIST
    • 2026Faithful yet Collusive: Why Chain-of-Thought Monitoring Cannot Detect Collusion in LLM Pricing Agents under Oligopolistic Competition EMNLP Findings
    • 2026When Users Don’t Specify: How LLMs Make Design Decisions in Underspecified Data Visualization Contexts PacificVis
67. KU·머신러닝

    김성웅, 임성빈AGI Lab

    관련 논문 7편비중 22%
    • 2026MolDesignBench: Evaluating LLM-based Agent for Scenario-grounded Molecular Design COLM
    • 2026RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction EMNLP Findings
    • 2025Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization NeurIPS
68. SNU·자연어처리·LLM

    이재윤SKI-ML Lab

    관련 논문 5편비중 19%연구 분야에 명시
    • 2026Aligning the Brain with Language Models Requires a Nonlinear and Multimodal Approach CCN Poster
    • 2025BridG MT: Enhancing LLMs' Machine Translation Capabilities with Sentence Bridging and Gradual MT ACL Findings
    • 2024Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation ACL
69. KU·자연어처리·LLM

    정우환Autonomous AI Lab

    관련 논문 5편비중 28%연구 분야에 명시
    • 2025Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models ACL Findings
    • 2025CARE: A Framework for Correcting Numerical Hallucinations in LLM-Generated Financial Texts CAI
    • 2025Data Augmentation for Messenger Phishing Detection Using Large Language Models ICEIC
70. KAIST·AI 시스템2026 업데이트 중

    김세훈SEAL

    관련 논문 5편비중 36%연구 분야에 명시
    • 2025Squeezed Attention: Accelerating Long Context Length LLM Inference ACL
    • 2024An LLM Compiler for Parallel Function Calling ICML
    • 2024KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NeurIPS
71. KU·머신러닝

    이병준Decision Making Lab

    관련 논문 5편비중 15%
    • 2026SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger ACL
    • 2026uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data AAAI
    • 2026GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-Making ACL Findings
72. Yonsei·컴퓨터 비전

    황성재MICV Lab

    관련 논문 4편비중 9%연구 분야에 명시
    • 2026Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models ICML
    • 2025PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning MICCAI
    • 2025Your Large Vision-Language Model Only Needs A Few Attention Heads for Visual Grounding CVPR
73. SNU·AI 시스템

    전동석MMS Lab

    관련 논문 4편비중 12%연구 분야에 명시
    • 2026TokenDrop: Token-Level Importance-Aware Backward Propagation Skipping for Efficient LLM Fine-Tuning ICML
    • 2025HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference NeurIPS
    • 2025CLAT: A Clustering-Based Attention Transformer Accelerator for Low-Latency Text Generation in LLMs TCAS-I
74. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련 논문 5편비중 10%
    • 2026Interpretable Debiasing of Vision-Language Models for Social Fairness CVPR
    • 2026Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling ICML
    • 2026World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models CVPR
75. KAIST·음성·오디오

    남주한MAC Lab

    관련 논문 7편비중 8%
    • 2026LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation RecSys
    • 2026VocalCoachBench: Benchmarking Audio-Language Models on Expert Feedback for Singing NeurIPS
    • 2025Can Large Language Models Predict Audio Effects Parameters from Natural Language? WASPAA
76. Yonsei·머신러닝

    이기복Machine Learning Lab

    관련 논문 3편비중 16%연구 분야에 명시
    • 2026Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting CVPR
    • 2026Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR
    • 2024Partial Channel Dependence with Channel Masks for Time Series Foundation Models NeurIPS
77. KU·머신러닝

    이창희AIX

    관련 논문 5편비중 13%
    • 2026Deep Language Model-based Early Recognition of Out-of-Hospital Cardiac Arrest from Real-Time Emergency Calls npj Digital Medicine
    • 2026Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word Subsets KDD
    • 2026Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values NeurIPS
78. KAIST·머신러닝

    최재식SAIL Lab

    관련 논문 6편비중 13%
    • 2026Incomplete Prompt Jailbreaks in Large Language Models ACL Findings
    • 2025Deontological Keyword Bias: The Impact of Modal Verbs on Normative Judgments of Language Models ACL
    • 2025A Perspective on Foundation Models in Chemistry JACS Au
79. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련 논문 5편비중 6%
    • 2026Continuous Audio Thinking for Large Audio Language Models NeurIPS
    • 2026Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory Balance ICML
    • 2026IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models EMNLP Findings
80. KAIST·머신러닝

    문일철AAI Lab

    관련 논문 4편비중 10%
    • 2026AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution ICLR
    • 2026Distillation of Large Language Models via Concrete Score Matching ICLR
    • 2026Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment ICLR
81. KU·컴퓨터 비전

    김동현UTL Lab

    관련 논문 4편비중 9%연구 분야에 명시
    • 2026LoCA: Spatially-Aware Low-Rank Convolutional Adaptation of Vision Foundation Models ECCV
    • 2024LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation CVPR
    • 2023Going Beyond Nouns With Vision & Language Models Using Synthetic Data ICCV
82. Yonsei·머신러닝

    권태경AI Security Lab

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

    김상엽EASY Lab

    관련 논문 3편비중 6%연구 분야에 명시
    • 2026NeuLPU: A 3.6 mW Spiking LLM Processing Unit for On-device Long-context Inference A-SSCC
    • 2025A 4.69mW LLM Processor with Binary/Ternary Weights for Billion-Parameter Llama Model Hot 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 Models ISSCC
84. SNU·데이터 마이닝

    강유Data Mining Lab

    관련 논문 5편비중 8%
    • 2026SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression ACL
    • 2026Dive: Accurate and Efficient Video Large Language Models for Lifespan Question via Head-wise Visual KV Cache Compression EMNLP Findings
    • 2025Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information IJCAI
85. KAIST·머신러닝

    안성수SPML Lab

    관련 논문 5편비중 10%
    • 2026DNACHUNKER: Learnable Tokenization for DNA Language Models ICML
    • 2025Enhancing LLM Agent Safety via Causal Influence Prompting ACL
    • 2025Improving Chemical Understanding of LLMs via SMILES Parsing EMNLP
86. KAIST·머신러닝

    김기응AIPR Lab

    관련 논문 4편비중 15%
    • 2026Dynamic Context Allocation for Concurrent Multi-Agent LLMs EMNLP
    • 2026Group-Normalized Implicit Value Optimization for Language Models ICLR
    • 2026PRISM-VLM: A Multi-Axis Discriminative Benchmark for Compact Vision-Language Models EMNLP Findings
87. SNU·머신러닝

    장병탁BI Lab

    관련 논문 3편비중 4%연구 분야에 명시
    • 2025On the Consistency of Video Large Language Models in Temporal Comprehension CVPR
    • 2025The Losing Winner: An LLM Agent that Predicts the Market but Loses Money NeurIPS
    • 2024Can Video Large Language Models Comprehend Language in Videos? NeurIPS
88. KU·음성·오디오

    김찬우SLPL

    관련 논문 4편비중 16%
    • 2026Enhancing Document-Level Machine Translation via filtered synthetic corpora and two-stage LLM adaptation ICASSP
    • 2026LMMSE: A Clinically Inspired Framework for Cognitive Evaluation of Large Language Models Information Sciences
    • 2025Reasoning-Based Approach with Chain-of-Thought for Alzheimer’s Detection Using Speech and Large Language Models INTERSPEECH
89. SNU·컴퓨터 비전

    전세영ICL

    관련 논문 4편비중 6%
    • 2026DictLLM: Post-training Compression of Large Language Model with Dictionary Kernels NeurIPS
    • 2026Strong Helps Weak: Directional Cross-Modal Alignment Transfer in Multi-modal LLMs NeurIPS
    • 2026Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models CVPR
90. SNU·AI 시스템

    서지원Machine Learning Systems Lab

    관련 논문 2편비중 17%연구 분야에 명시
    • 2026Spexis: Speculative and Lookahead Scheduling for LLM Inference EMNLP
    • 2024ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference ASPLOS
91. SNU·음성·오디오

    이교구MARG

    관련 논문 4편비중 5%
    • 2026Auditory Illusion Benchmark for Large Audio Language Models ICASSP
    • 2026Fast Speech Foundation Model Distillation Using Interleaved Stacking INTERSPEECH
    • 2026Toward Open-Set Speaker Attribute Prediction with Keyword-Appended LLM Embeddings INTERSPEECH
92. KAIST·AI for Science

    예종철BISPL

    관련 논문 5편비중 4%
    • 2026Read like a radiologist: Efficient vision-language model for 3d medical imaging interpretation Medical Image Analysis
    • 2026Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs ICML
    • 2024Bidirectional generation of structure and properties through a single molecular foundation model Nature Communications
93. SNU·컴퓨터 비전

    이준석VIP Lab

    관련 논문 4편비중 7%
    • 2026QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning ICML
    • 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning ICLR
    • 2025Local Large Language Models for Recommendation CIKM
94. SNU·AI 시스템

    유승주CMA Lab

    관련 논문 3편비중 17%
    • 2026EntropyCache: Decoded Token Entropy Guided KV Caching for Diffusion Language Models NeurIPS
    • 2026Locality-Aware Redundancy Pruning for LLM Depth Compression EMNLP
    • 2026PN-Mix: Pair-Norm Guided Mixed-Precision Key Cache Quantization for Efficient Long-Output LLM Inference EMNLP
95. KAIST·AI 시스템

    유민수VIA Research Group

    관련 논문 4편비중 14%
    • 2026PASCAL: A Phase-Aware Scheduling Algorithm for Serving Reasoning-based Large Language Models HPCA
    • 2026Exploring KV Cache Quantization in Multimodal Large Language Model Inference IEEE Computer Architecture Letters
    • 2024vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training MICRO
96. KAIST·머신러닝

    박진규System Intelligence Lab

    관련 논문 4편비중 8%
    • 2026Active Attacks: Red-teaming LLMs via Adaptive Environments ICML
    • 2026TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution AAAI
    • 2024Large Language Models as Hyper-Heuristics for Combinatorial Optimization NeurIPS
97. SNU·인간-AI 상호작용2026 업데이트 중

    이준환HCI+D Lab

    관련 논문 4편비중 14%
    • 2025Letters from Future Self: Augmenting the Letter-Exchange Exercise with LLM-based Agents to Enhance Young Adults’ Career Exploration CHI
    • 2025SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based Agent NAACL
    • 2025Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees’ Dialogue to Facilitate Nurse Communication Training ACL Findings
98. KAIST·데이터 마이닝

    황지영Big Data Intelligence Lab

    관련 논문 2편비중 10%연구 분야에 명시
    • 2025Beneath the Facade: Probing Safety Vulnerabilities in LLMs via Auto-Generated Jailbreak Prompts EMNLP Findings
    • 2023FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4 EMNLP Findings
99. POSTECH·AI 시스템

    전명재OMNIA Lab

    관련 논문 1편비중 8%연구 분야에 명시
    • 2026ORBITFLOW: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration VLDB
100. SNU·AI for Science

     이종호LIST

     관련 논문 1편비중 3%연구 분야에 명시
     • 2026Strong Helps Weak: Directional Cross-Modal Alignment Transfer in Multi-modal LLM NeurIPS
101. KAIST·머신러닝

     안성진MLML

     관련 논문 1편비중 3%연구 분야에 명시
     • 2026CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter NeurIPS
102. SNU·AI for Science

     김선BHI Lab

     관련 논문 4편비중 7%
     • 2025ADME-Drug-Likeness: Enriching Molecular Foundation Models via Pharmacokinetics-Guided Multi-Task Learning for Drug-likeness Prediction Bioinformatics
     • 2025MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model EMNLP Findings
     • 2025Transcriptome-conditioned molecule generation via gene interaction-aware fragment modeling with a GPT-based architecture Scientific Reports
103. KAIST·머신러닝

     성영철SISReL

     관련 논문 3편비중 8%
     • 2026Align as act: Innovations-based reward decomposition for LLM agents COML Workshop on Agent Behavior
     • 2026Inject a turn, not a token: Learning where to redirect LLM reasoning for self-correction COLM
     • 2025ReflAct: World-grounded decision making in LLM agents via goal-state reflection EMNLP
104. SNU·AI for Science

     정유성MICC Lab

     관련 논문 4편비중 9%
     • 2025A perspective on Foundation Models in Chemistry JACS Au
     • 2025Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models Angew. Chem. International Ed
     • 2025Synthesis-Aware Materials Redesign via Large Language Models J. Am. Chem. Soc
105. KAIST·AI 시스템

     한동수INA Lab

     관련 논문 1편비중 4%연구 분야에 명시
     • 2025SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs NeurIPS
106. SNU·컴퓨터 비전

     최종현MPR Lab

     관련 논문 3편비중 7%
     • 2026Risk-adaptive Activation Steering for Safe Multimodal Large Language Models ECCV
     • 2025Representation Bending for Large Language Model Safety ACL
     • 2025Large Language Models Still Exhibit Bias in Long Text ACL Findings
107. Yonsei·데이터 마이닝

     박상현DELAB

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

     오유진OMAEL

     관련 논문 1편비중 9%연구 분야에 명시
     • 2024LLM-driven Multimodal Target Volume Contouring in Radiation Oncology Nature Communications
109. SNU·인간-AI 상호작용

     권가진CC Lab

     관련 논문 3편비중 14%
     • 2026Deriving Instructional Insights from Human–LLM Co-Evaluation of Student Collaboration in Data-Centric Programming SIGCSE Technical Symposium
     • 2025Capturing Collaborative Competency with GPT-4o and ENA International Conference on Computer-Supported Collaborative Learning
     • 2023Does ChatGPT Comprehend the Place Value in Numbers When Solving Math Word Problems? AIED
110. POSTECH·컴퓨터 비전

     곽수하, 조민수, 손진희CV Lab

     관련 논문 3편비중 3%
     • 2026Vision-aligned Latent Reasoning for Multi-Modal Large Language Model ICML
     • 2025Video Summarization with Large Language Models CVPR
     • 2024Active Label Correction for Semantic Segmentation with Foundation Models ICML
111. KU·AI for Science

     석흥일Machine Intelligence Lab

     관련 논문 3편비중 6%
     • 2025Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation MICCAI
     • 2025Parameter-Efficient Transfer Learning for EEG Foundation Models via Task-Relevant Feature Focusing CIKM
     • 2025Parameter-Efficient Fine-Tuning Adapts EEG Foundation Models to Downstream Tasks Effectively OHBM
112. KAIST·머신러닝

     문재균

     관련 논문 2편비중 10%
     • 2026Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models ICLR
     • 2026ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization AAAI
113. KU·머신러닝

     정종헌TAIL

     관련 논문 2편비중 9%
     • 2026CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation EMNLP
     • 2026Learning from the Undesirable: Robust Adaptation of Language Models without Forgetting AAAI
114. SNU·머신러닝

     이상학Causality Lab

     관련 논문 2편비중 7%
     • 2026A Structural View of Query Misspecification in Causal Foundation Models ICML
     • 2026Causal Foundation Models Perform Better without Post-treatment Variables ICML
115. SNU·AI 시스템

     김형신AIoT Lab

     관련 논문 2편비중 6%
     • 2026SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures ICML
     • 2026Measurement Plasticity: Sensor-Level Adapation for Vision-Language Models ICML
116. SNU·컴퓨터 비전

     조남익ISPL

     관련 논문 2편비중 3%
     • 2026ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs ICLR
     • 2026Robust Vision-Language Alignment Using Multi-Modal Large Language Models for Open-Vocabulary Semantic Segmentation IEEE Access
117. KAIST·컴퓨터 비전

     윤국진VI Lab

     관련 논문 2편비중 2%
     • 2026Ego-human Motion Prediction with 3D-aware LLM ECCV
     • 2026Bootstrapping a 4D LiDAR Annotation Tool from Video Foundation Models ECCV
118. POSTECH·머신러닝

     전광성Interactive Machine Learning Lab

     연구 분야에 명시
119. KU·로보틱스

     최성준Robot Intelligence Lab

     연구 분야에 명시
120. SNU·데이터 마이닝

     유재민Data AI Lab

     관련 논문 2편비중 7%
     • 2026ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation SIGIR
     • 2025'Hello, World!': Making GNNs Talk with LLMs EMNLP Findings
121. KU·컴퓨터 비전

     김상필Computer Vision Lab

     관련 논문 2편비중 4%
     • 2026SALUTE: Benchmarking and Adapting LLMs for the Defense Domain EMNLP Findings
     • 2025Cropper: Vision-Language Model for Image Cropping through In-Context Learning CVPR
122. Yonsei·AI 시스템

     김영석HPCP Lab

     관련 논문 2편비중 7%
     • 2026DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization SIGMOD
     • 2024Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System HPCA
123. SNU·AI for Science

     차지욱Connectome Lab

     관련 논문 2편비중 6%
     • 2025DIVER-0: A Fully Channel Equivariant EEG Foundation Model ICML
     • 2025NeuroMamba: A State-Space Foundation Model for Functional MRI NeurIPS
124. KU·인간-AI 상호작용

     서승호HUI

     관련 논문 2편비중 3%
     • 2025OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models ICASSP
     • 2025LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions EPJ Quantum Technology
125. Yonsei·컴퓨터 비전

     김선주CIPLab

     관련 논문 2편비중 4%
     • 2025Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs ICCV
     • 2025Open-ended Hierarchical Streaming Video Understanding with Vision Language Models ICCV
126. KU·AI for Science

     감태의Medical AI Lab

     관련 논문 2편비중 3%
     • 2025"Going to a trap house" conveys more fear than "Going to a mall": Benchmarking Emotion Context Sensitivity for LLMs EMNLP Findings
     • 2025Group-wise Compression and Summarization via LLM-based Ensemble for Chest X-ray Report Generation EMBC
127. SNU·AI for Science

     김경수AIBL

     관련 논문 2편비중 6%
     • 2025Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models ICLR
     • 2024Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis CHIL
128. Yonsei·로보틱스

     김태리로봇 지능 및 상호작용 연구실

     관련 논문 1편비중 13%
     • 2026Navigation Explainability for Object Avoidance with LLMs for Assistive Robots RO-MAN
129. Yonsei·AI 시스템

     박광현BDAI

     관련 논문 1편비중 11%
     • 2026DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization SIGMOD
130. SNU·AI 시스템

     이상원VLDB Lab

     관련 논문 1편비중 10%
     • 2026MatKV: Trading Compute for Flash Storage in LLM Inference ICDE
131. SNU·AI 시스템

     성효진CODE Lab

     관련 논문 1편비중 8%
     • 2026Aurora: A Disaggregated GPU-PNM-PIM System for High-Throughput Mixed-Length LLM Inference ICS
132. KAIST·머신러닝

     정송

     관련 논문 1편비중 8%
     • 2026LS-Merge: Merging Language Models in Latent Space ICLR
133. KAIST·로보틱스

     박대형RIRO Lab

     관련 논문 1편비중 7%
     • 2026C2F-SPACE: Coarse-to-Fine Space Grounding for Spatial Instructions using Vision-Language Models Intelligent Service Robotics
134. Yonsei·머신러닝

     이종민DIL Lab

     관련 논문 1편비중 7%
     • 2026Dynamic Context Allocation for Concurrent Multi-Agent LLMs EMNLP
135. POSTECH·인간-AI 상호작용2026 업데이트 중

     조은경Health & HCI Lab

     관련 논문 2편비중 40%
     • 2024Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention CHI
     • 2023Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention CHI
136. Yonsei·로보틱스

     이용현RoPhi Lab

     관련 논문 1편비중 5%
     • 2026Point2Act: Efficient 3D Distillation of Multimodal LLMs for Zero-Shot Context-Aware Grasping ICRA
137. SNU·AI 시스템

     엄현상DCS Lab

     관련 논문 1편비중 4%
     • 2026Enabling Zero-Knowledge Proving of Large Language Models on a Consumer GPU MASCOTS
138. Yonsei·데이터 마이닝

     김하영MLCF Lab

     관련 논문 1편비중 4%
     • 2026Can Multimodal Large Language Models Extract Investment Signals from Financial Charts? Evidence from Portfolio Backtests Finance Research Letters
139. POSTECH·음성·오디오

     서영주AIoT Lab

     관련 논문 1편비중 3%
     • 2026Merging Methods for Multilingual Knowledge Editing for Large Language Models: An Empirical Odyssey Electronics
140. SNU·컴퓨터 비전

     김영민3D Vision Lab

     관련 논문 1편비중 2%
     • 2026Point2Act: Efficient 3D Distillation of Multimodal LLMs for Zero-Shot Context-Aware Grasping ICRA
141. SNU·머신러닝

     문태섭M.IN.D Lab

     관련 논문 1편비중 2%
     • 2026PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset EMNLP
142. SNU·컴퓨터 비전

     박재식Visual & Geometric Intelligence Lab

     관련 논문 1편비중 2%
     • 2026Why Far Looks Up: Probing Spatial Representation in Vision-Language Models ECCV
143. SNU·머신러닝

     이정우CML Lab

     관련 논문 1편비중 2%
     • 2026A Regret Minimization Framework on Preference Learning in Large Language Models ICML
144. KU·컴퓨터 비전

     박경문VGI Lab

     관련 논문 1편비중 2%
     • 2026When to Stop and Which to Return: Trajectory-Level Minimum Bayes Risk Decoding for Diffusion Language Models NeurIPS
145. Yonsei·컴퓨터 비전

     전해곤Visual AI Lab

     관련 논문 1편비중 2%
     • 2026Social Reasoning-Aware Trajectory Prediction via Multimodal Language Model TPAMI
146. KAIST·데이터 마이닝

     박노성BigDyL

     관련 논문 1편비중 1%
     • 2026Learning Hierarchical Forward Processes For Discrete Diffusion Language Models NeurIPS
147. Yonsei·AI for Science2026 업데이트 중

     남호정BIIL

     관련 논문 1편비중 8%
     • 2025AI-Guided Discovery and Optimization of Antimicrobial Peptides Through Species-Aware Language Model Briefings in Bioinformatics
148. Yonsei·AI 시스템

     박성훈MAIS Lab

     관련 논문 1편비중 8%
     • 2025ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented Reality MobiSys
149. KAIST·로보틱스2026 업데이트 중

     김범준HuGe Lab

     관련 논문 1편비중 8%
     • 2025Prime the Search: Using Large Language Models for Guiding Geometric Task and Motion Planning by Warm-starting Tree Search IJRR
150. SNU·AI 시스템

     하순회IRIS/CAPLAB

     관련 논문 1편비중 6%
     • 2025Enabling Decoder-only Language Model Inference on a CNN Accelerator ICCAD
151. POSTECH·데이터 마이닝

     한욱신Data Systems Lab

     관련 논문 1편비중 4%
     • 2025HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval ACL
152. Yonsei·AI 시스템

     차호정MOBED

     관련 논문 1편비중 5%
     • 2025ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented Reality MobiSys
153. SNU·로보틱스

     김아영RPM Lab

     관련 논문 1편비중 3%
     • 2025ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models CoRL
154. SNU·AI 시스템

     이영기HCS Lab

     관련 논문 1편비중 3%
     • 2025VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking NeurIPS
155. SNU·머신러닝

     홍영준MLSC Lab

     관련 논문 1편비중 3%
     • 2025Toward a Robust and Generalizable Metamaterial Foundation Model npj Computational Materials
156. KAIST·컴퓨터 비전

     성민혁Visual AI Group

     관련 논문 1편비중 2%
     • 2025Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation ICCV
157. KAIST·머신러닝

     윤철희OptiML Lab

     관련 논문 1편비중 2%
     • 2025Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training NeurIPS
158. KAIST·로보틱스

     임재환CLVR Lab

     관련 논문 1편비중 8%
     • 2023Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance CoRL