· 자연어처리·LLM
김재형 ML3 Lab 관련도 관련 논문 30편 비중 65% 연구 분야에 명시
2026 Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges ICLR 2026 Auditing the Judge: Human-Grounded Bias Discovery, Quantification, and Mitigation in LLM Judges NeurIPS 2026 CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation EMNLP · 자연어처리·LLM
임희석 NLP&AI Lab 관련도 관련 논문 38편 비중 39% 연구 분야에 명시
2026 M3DocDep: Multi-modal, Multi-page, Multi-document Dependency Chunking with Large Vision-Language Models CVPR 2026 Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation ACL 2026 Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses ACL · 자연어처리·LLM
오혜연 U&I Lab 관련도 관련 논문 35편 비중 44%
2026 Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean Dialogues ACL 2026 Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub NeurIPS 2026 Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs EMNLP 관련도 관련 논문 36편 비중 25%
2026 From Belief Entrenchment to Robust Reasoning in LLM Agents TACL 2026 Group-Normalized Implicit Value Optimization for Language Models ICLR 2026 Hybrid Architectures for Language Models: Systematic Analysis and Design Insights TMLR 관련도 관련 논문 33편 비중 34%
2026 Authorship Drift: How Self-Efficacy and Trust Evolve During LLM-Assisted Writing CHI 2026 CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface Design AAAI 2026 Evalet: Evaluating Large Language Models by Fragmenting Outputs into Functions CHI 관련도 관련 논문 26편 비중 31% 연구 분야에 명시
2026 Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models ICML 2026 Multi-LLM Adaptive Conformal Inference for Reliable LLM Response ICLR 2026 P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models ICRA 관련도 관련 논문 21편 비중 38% 연구 분야에 명시
2026 Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions ICML 2026 Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models ACL 2026 Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in LLMs ICML 관련도 관련 논문 24편 비중 32% 연구 분야에 명시
2026 Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoning EMNLP 2026 How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models ACL 2026 Language Shapes Instruction Hierarchy Compliance in Multilingual LLMs EMNLP 관련도 관련 논문 27편 비중 26%
2026 It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs NeurIPS 2026 LS-Merge: Merging Language Models in Latent Space ICLR 2026 Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows ICLR 관련도 관련 논문 26편 비중 27%
2026 Do Language Models Associate Sound with Meaning? A Multimodal Study of Sound Symbolism AAAI 2026 Investigating Counterfactual Unfairness in LLMs towards Identities through Humor ACL 2026 Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs NeurIPS 관련도 관련 논문 20편 비중 25%
2026 LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs ICML 2026 No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping ICLR 2026 When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling ICLR 관련도 관련 논문 28편 비중 42%
2026 Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams ACL 2026 Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models ICML 2025 How Does Vision-Language Adaptation Impact the Safety of Vision Language Models? ICLR 관련도 관련 논문 18편 비중 15% 연구 분야에 명시
2026 AdaBoosting Text Prompts for Vision-Language Models ECCV 2026 In-Place Feedback: Reliable Refinement for Multi-Turn Expert-LLM Collaboration EMNLP 2026 LLM Watermark Evasion via Bias Inversion ICML 관련도 관련 논문 18편 비중 18%
2026 A Behavioral Trait Leaks into Preferences: Diagnosing Trait Interference in LLM User Simulators CIKM 2026 A Structured LLM Framework for Inorganic Material Synthesis Planning NeurIPS 2026 CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs ICLR 관련도 관련 논문 15편 비중 22% 연구 분야에 명시
2026 Adelia: A 4-nm LLM Processing Unit with Streamlined Dataflow and Dual-Mode Parallelism for Maximizing Hardware Efficiency JSSC 2026 Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative Decoding ISCA 2026 Distance Is Not Enough: Forget-Retain Alignment Gap Predicts LLM Relearning Robustness EMNLP 관련도 관련 논문 15편 비중 20% 연구 분야에 명시
2026 A Causal Lens on Non-RGB Vision Sensor Understanding in Vision Language Models IEEE TIP 2026 Diffusion Large Language Models for Visual Speech Recognition EMNLP 2026 Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale Verifier AAAI 관련도 관련 논문 12편 비중 55% 연구 분야에 명시
2026 COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs ACL 2026 Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior CHI 2026 Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models ICLR 관련도 관련 논문 18편 비중 17%
2026 Contextualized Visual Personalization in Vision-Language Models ICML 2026 Heads That Write, Not Just Point: Image Retrieval Heads in Vision-Language Models NeurIPS 2026 Time-Conditioned Foreseeing: An EHR-Specific Foundation Model for Irregular Dynamics and Calendrical Time ICML 관련도 관련 논문 13편 비중 34%
2026 EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs ACL 2026 From Noise to Diversity: Random Embedding Injection in LLM Reasoning NeurIPS 2026 Garbage attention in large language models: Bos sink heads and sink-aware pruning EMNLP · 자연어처리·LLM
이상근 Data Intelligence Lab 관련도 관련 논문 13편 비중 37% 연구 분야에 명시
2026 Chronos: Chronology-Grounded Continued Pre-training for Language Model Adaptation to Materials Science EMNLP 2026 KnowProxy: Adapting Large Language Models by Knowledge-guided Proxy ICLR 2026 MolSC: Leveraging Substituent Contributions to Enhance Fine-grained Molecular Understanding in LLMs EMNLP 관련도 관련 논문 21편 비중 16%
2026 DoG: Sniffing Out Overconfidence in LLM Agents via Post-hoc Trajectory Restructuring NeurIPS 2026 Vision-aligned Latent Reasoning for Multi-Modal Large Language Model ICML 2026 Correct Answers from Sound Reasoning: Verifiable Process Supervision for Language Models COLM · 컴퓨터 비전
주재걸 DAVIAN Lab 관련도 관련 논문 16편 비중 12%
2026 A Dual-Expert Strategy Integrating LLMs to Mitigate Negative Transfer in Cross-Domain Sequential Recommendation CIKM 2026 ExpGuard: LLM Content Moderation in Specialized Domains ICLR 2026 More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences ICLR · 자연어처리·LLM
한요섭 TOC Lab 관련도 관련 논문 13편 비중 25%
2026 A Linguistics-Aware LLM Watermarking via Syntactic Predictability ACL 2026 Linguistics-Aware Non-Distortionary LLM Watermarking EMNLP 2026 Sequential Behavioral Watermarking for LLM Agents NeurIPS · 자연어처리·LLM
이동하 DLI Lab 관련도 관련 논문 14편 비중 24% 연구 분야에 명시
2026 BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback ICML 2026 RPM: Reasoning-Level Personalization for Black-Box Large Language Models ICLR 2025 Can Large Language Models be Effective Online Opinion Miners? EMNLP 관련도 관련 논문 13편 비중 16%
2026 Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items? ACL 2026 Knowing What Not to Answer: Selective Non-Compliance in Vision-Language Models EMNLP 2026 Merging Triggers, Breaking Backdoors: Defensive Poisoning for Instruction-Tuned Language Models ACL · 음성·오디오
정준선 Multimodal AI Lab 관련도 관련 논문 13편 비중 14%
2026 Acoustic Prompting via Stage-wise Modulation for Few-Shot Learning in Audio Language Models INTERSPEECH 2026 FastAV: Efficient Token Pruning for Audio-Visual Large Language Model Inference ICASSP 2026 Hear you are: Teaching LLMs Spatial Reasoning with Vision and Spatial Sound CVPR · 자연어처리·LLM
여진영 Language & AGI Lab 관련도 관련 논문 13편 비중 26% 연구 분야에 명시
2026 On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length ICML 2025 Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning NeurIPS 2025 LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study ACL 관련도 관련 논문 11편 비중 24% 연구 분야에 명시
2026 Dr.LLM: Dynamic Layer Routing for LLMs ICLR 2026 It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs NeurIPS 2026 Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models ACL · 머신러닝
한동준 Edge AI Lab 관련도 관련 논문 9편 비중 20% 연구 분야에 명시
2026 Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training ICML 2026 Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs ICML 2026 Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models ICLR 관련도 관련 논문 11편 비중 22% 연구 분야에 명시
2026 LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents ICML 2026 PRESTE: Preserving Tiny Exponent Precision for Efficient Sub-8-bit LLM Inference and Fine-Tuning ICCAD 2026 QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models ICLR 관련도 관련 논문 11편 비중 29%
2026 AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing? ICASSP 2026 Understanding the Effects of Distractors on Reasoning Vision-Language Models EMNLP 2026 IterQuant: Iterative Quantization Framework for Mixed-Precision LLM Compression DATE 관련도 관련 논문 11편 비중 10%
2026 4DP-QA: Scalable QA for 4D Perception in Vision Language Models CVPR 2026 Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models ECCV 2026 Geometric Latent Diffusion: Repurposing Geometric Foundation Models for Multi-view Diffusion ECCV · 자연어처리·LLM
도재영 AIDAS Lab 관련도 관련 논문 9편 비중 28% 연구 분야에 명시
2026 MatKV: Trading Compute for Flash Storage in LLM Inference ICDE 2026 Medic-AD: Towards Medical Vision-Language Model's Clinical Intelligence CVPR 2026 Unified Static–Dynamic Pruning for Efficient LLM Inference VLDB 관련도 관련 논문 9편 비중 24%
2026 A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models ICLR 2026 BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs EMNLP 2026 Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs ICML · 자연어처리·LLM
임경태 MLP Lab 관련도 관련 논문 8편 비중 21% 연구 분야에 명시
2026 Distribution-aware Language Neuron Identification in Multilingual Large Language Models EMNLP 2026 Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives ACL 2026 Beyond Black Boxes: Explainable Face Anti-Spoofing with Vision-Language Models Scientific Reports 관련도 관련 논문 12편 비중 12%
2026 Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow CVPR 2026 Hear, Localize, and Reason: Spatially Aware Scene Understanding for Audio-visual LLMs NeurIPS 2026 SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter ACL 관련도 관련 논문 8편 비중 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 2026 Multi-Test Nation Bias Benchmarking of LLMs with Explicit Unbiased Baselines TACL 2026 Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs EMNLP Findings 관련도 관련 논문 12편 비중 7%
2026 Generation-Drift-Guided Block Pruning for Large Language Models NeurIPS 2026 Conditioning Activation Interventions on Evolving Reasoning States in Large Language Models EMNLP Findings 2026 From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model IEEE TMM · 데이터 마이닝
신기정 Data Mining Lab 관련도 관련 논문 10편 비중 11%
2026 Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models RecSys 2026 Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation WWW 2026 Zero-Shot Tabular Learning via Hypergraph Reasoning with LLMs EMNLP 관련도 관련 논문 8편 비중 32%
2026 LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction ACL 2026 RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering WWW 2026 VSPO: Validating Semantic Pitfalls in Ontology via LLM-Based CQ Generation AAAI · 자연어처리·LLM
김현우 COCO Lab 관련도 관련 논문 8편 비중 42% 연구 분야에 명시
2026 SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs ICLR 2026 XYBench: Can LLMs Respond Pragmatically to Queries with Misconceptions? EMNLP 2025 Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs NAACL 관련도 관련 논문 9편 비중 18%
2026 Prediction of Left Ventricular Systolic Dysfunction in Left Bundle Branch Block using a Fine-Tuned ECG Foundation Model Scientific Reports 2026 An Interactive LVM–LLM Agent for Dementia Screening: Towards Clinical Translation of Explainable AI ECR 2026 Generating the radiologist’s first pass: Can one vision-language model screen multi-site, multi-sequence MRI across the whole body? ECR · 머신러닝
이남훈 Computational Optimization Lab 관련도 관련 논문 8편 비중 31%
2026 Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity EMNLP 2026 Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026 The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM ICLR 관련도 관련 논문 12편 비중 19%
2026 Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry MLHC 2026 Large Language Model–Generated Expansion of the RadLex Ontology: Application to Multinational Datasets of Chest CT Reports American Journal of Roentgenology 2025 Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning NAACL 관련도 관련 논문 10편 비중 14% 연구 분야에 명시
2026 Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration AAAI 2026 MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models CVPR 2026 Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization AAAI · 인간-AI 상호작용
서봉원 Human Centered Computing Lab 관련도 관련 논문 8편 비중 16% 연구 분야에 명시
2026 CodeVoyager: Integrating Interactive Visual Aids with LLMs for Code Comprehension IUI 2026 DEBSIM: Productive Friction for Learning Transfer in LLM-Based Argumentation Tutoring ITS 2026 Supporting or Hindering? Understanding the Divergent Effects of LLM Assistance on Critical Thinking in Academic Reading CHI 관련도 관련 논문 9편 비중 28%
2026 MAGE: All-[MASK] Block Already Knows Where to Look in Block Diffusion LLM NeurIPS 2026 SpareTrain: Fault-Tolerant LLM Training via Low-Cost Dual Modular Redundancy ICLR 2025 DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization OSDI 관련도 관련 논문 9편 비중 13% 연구 분야에 명시
2026 Dual-Scale World Memory for LLM Agents towards Hard-Exploration Problems ICLR 2026 SAFE: An LLM-as-Verifier Framework for Evidence-Grounded Multi-Hop Reasoning EMNLP 2025 Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models ACL 관련도 관련 논문 9편 비중 11%
2026 Confidence is not universal: task-dependent calibration and emergent behavior in LLMs ICML 2026 From drift to coherence: stabilizing beliefs in LLMs ICML 2026 SAVE: sparsity-aware influence estimation for vocabulary-expanded LLMs NeurIPS 관련도 관련 논문 10편 비중 24%
2026 AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs ICML 2026 Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model Engineering Applications of Artificial Intelligence 2026 CEREAL: Personality-Driven LLM-based Conversational Recommendation Dataset with Contextually-Enriched and Realistic User Interactions Multimedia Tools and Applications · 컴퓨터 비전
김건희 Vision & Learning Lab 관련도 관련 논문 12편 비중 21%
2026 WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations ACL Findings 2025 Behavior-SD: Behaviorally Aware Spoken Dialogue Generation with Large Language Models NAACL 2025 Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates ACL · 머신러닝
송현오 Machine Learning Lab 관련도 관련 논문 6편 비중 38% 연구 분야에 명시
2026 Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs EMNLP 2026 Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test Generation ICML 2025 GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance ICML 관련도 관련 논문 8편 비중 11%
2026 Diagnosing Spatial Consistency across Perspectives and Viewpoints in Large Vision-Language Models ACL 2026 Injecting Context via Situation Working Memory for Logical Reasoning with LLMs ACL 2026 Multi-Feature Quantized Self-Attention for Fair Large Language Models ICLR 관련도 관련 논문 9편 비중 20%
2026 Entropy-Aware On-Policy Distillation of Language Models ICML 2026 Adversarial Iterative Unit Test Generation with Large Language Models ICLR 2025 Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents ICLR · 인간-AI 상호작용
서진욱 Human-Computer Interaction Lab 관련도 관련 논문 10편 비중 18%
2026 Good Fences Make Good Learning: How Self-Directed Language Learners Navigate LLM Delegation Decisions CHI 2026 Penquiry: A Pen-based Interactive In-situ Q&A System Leveraging LLMs UIST 2025 Leveraging Multimodal LLM for Inspirational User Interface Search CHI · AI 시스템
안정호 SCALable Computer Architecture Lab 관련도 관련 논문 6편 비중 13% 연구 분야에 명시
2026 DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention ICML 2026 LILo: Harnessing the On-chip Accelerators in Intel CPUs for Compressed LLM Inference Acceleration HPCA 2026 RoMe: Row Granularity Access Memory System for Large Language Models HPCA · 컴퓨터 비전
홍승훈 Vision and Learning Lab 관련도 관련 논문 6편 비중 16%
2026 Flock: A Knowledge Graph Foundation Model via Learning on Random Walks ICLR 2026 Flow Map Language Models: One-step Language Modeling via Continuous Denoising NeurIPS 2026 Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models NeurIPS · 머신러닝
박상돈 Trustworthy ML Lab 관련도 관련 논문 6편 비중 27%
2026 LLM Watermark Evasion via Bias Inversion ICML 2026 MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment NeurIPS 2026 The Illusion of Rust Safety: Detecting Modular Unsafe Functions with LLMs CCS · 데이터 마이닝
이재길 Data Mining Lab 관련도 관련 논문 7편 비중 18%
2026 Compositional Spectral Prompts for LLM-based Online Time Series Forecasting CIKM 2026 CURE: Cumulative Knowledge Reuse for Efficient Device-Server Hybrid Inference in Vision-Language Models ECCV 2026 Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models ICML · AI 시스템
이재진 THUNDER Research Group 관련도 관련 논문 5편 비중 26% 연구 분야에 명시
2026 Thunder-NUbench: A benchmark for LLMs’ sentence-level negation understanding EACL Findings 2025 KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models EMNLP 2025 Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs EMNLP Findings 2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.