자연어처리·LLM, 학회
ACL 논문을 낸 국내 연구실
탑티어Annual Meeting of the Association for Computational Linguistics. 2023년 이후 논문 372편, 연구실 129곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 Machine Learning Lab박은혁 교수 | POSTECH | 18 | 29 | 12 | |
 main Lab김재광 교수 | 성균관대 | 6 | 26 | – | |
 MLAI송경우 교수모집 안내 | 연세대 | 21 | 54 | 39 | |
 Mobile Intelligence & Interaction Laboratory이성주 교수 | KAIST | 21 | 32 | – | |
 Music and Audio Computing Lab남주한 교수 | KAIST | 24 | 43 | 22 | |
 Speech and Language AI Lab송은우 교수신생 랩 | 연세대 | 1 | 1 | 1 | |
 Ubiquitous AI Lab. 유비쿼터스 인공지능 연구실공태식 교수신생 랩모집 안내 | UNIST | 13 | 21 | 5 | |
 Visual & General Intelligence Lab (시각 및 범용 지능 연구실)박경문 교수모집 안내 | 고려대 | 29 | 39 | – | |
 Visual Information Processing Lab이준석 교수모집 안내 | 서울대 | 26 | 40 | 58 |
최근 논문
- COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs
2026, 강민석 연구실, Data Intelligence Lab
- COMPEL: Compensated Mixture-of-Experts Pruning with Expert-Layer distribution
2026, 인공지능 연구실
- ConSensus: Multi-Agent Collaboration for Multimodal Sensing
2026, Mobile Intelligence & Interaction Laboratory
- ContractEval: A Benchmark for Evaluating Contract-Satisfying Assertions in Code Generation
2026, 계산이론, 박현우 연구실
- ConvX: A Lightweight Converter to Bridge Indexed Dense Representations and Large Language Models for Retrieval-Augmented Generation
2026, 자연어처리연구실
- CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning
2026, ANDlab
- CUB: Benchmarking Context Utilisation Techniques for Language Models
2026, 지능형 데이터 시스템 연구실
- CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge
2026, 양은호 연구실
- Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational Recommendation
2026, 인터넷컴퓨팅
- DeFrame: Debiasing Large Language Models Against Framing Effects
2026, 데이터 지능 연구실
- Diagnosing Spatial Consistency across Perspectives and Viewpoints in Large Vision-Language Models
2026, 소프트컴퓨팅
- Do MLLMs Capture How Interfaces Guide User Behavior? A Benchmark for Multimodal UI/UX Design Understanding
2026, 언어 인지 및 피지컬 지능 연구실
- Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models
2026, 조요한 연구실
- DPLoRA: A Dual-Pruning Framework based on ILP Optimization and Progressive Pruning for Parameter-Efficient LoRA Fine-Tuning
2026, main Lab
- DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode
2026, 언어 및 데이터지능 연구실
- DUSK: Do Not Unlearn Shared Knowledge
2026, 인포메이션시스템즈, 언어 인지 및 피지컬 지능 연구실
- EAIR: Entity-aware Inference-Time Knowledge Routing for Multi-Hop Knowledge Editing
2026, Natural Language Processing Lab
- Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking
2026, AI Cognition Optimization with Reinforcement & Exploration (AI-CORE) Lab. 지능 최적화 및 강화학습 연구실
- Efficient Process Reward Modeling via Contrastive Mutual Information
2026, 인지머신러닝 연구실
- Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models
2026, 언어 기계 학습