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
UNIST 김태환 교수
탑티어 10전체 28구성원 14
멀티모달대규모 언어 모델
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 통계적 추론 및 정보 이론 연구실김준모 교수모집 안내 | KAIST | 42 | 65 | – | |
 천둥 연구실이재진 교수 | 서울대 | 16 | 31 | – | |
 범용 인공지능 연구실김성웅 교수모집 안내 | 고려대 | 14 | 17 | 17 | |
 기계 지능 연구실오태현 교수모집 안내 | KAIST | 45 | 76 | – | |
 정보보호/AI보안권태경 교수모집 안내 | 연세대 | 2 | 22 | 21 | |
 COCO Lab김현우 교수신생 랩모집 안내 | KAIST | 9 | 10 | 6 | |
 Cognitive Systems LabChristian Wallraven 교수 | 고려대 | 7 | 15 | 8 | |
 Computational Optimization Lab이남훈 교수 | POSTECH | 12 | 14 | 16 | |
 CSI Agent우홍욱 교수 | 성균관대 | 24 | 29 | 19 | |
 Data Intelligence and Learning Lab권원빈 교수신생 랩 | 성균관대 | 16 | 18 | – | |
 Data Systems Lab한욱신 교수 | POSTECH | 18 | 26 | 24 | |
 DMH Lab정경미 교수 | 연세대 | 2 | 5 | 17 | |
 Financial Engineering Lab. 금융공학연구실이용재 교수 | UNIST | 3 | 26 | – | |
 Hanyang Human-Centered Computing Lab한경식 교수모집 안내 | 한양대 | 20 | 33 | 15 | |
 HLILab박진영 교수 | 성균관대 | 7 | 17 | – | |
 HYU IDSL Lab김미숙 교수 | 한양대 | 4 | 14 | 11 | |
 Interactive Multimodal Machine Learning lab. 인터랙티브 멀티모달 기계학습 연구실김태환 교수 | UNIST | 10 | 28 | 14 | |
 KAIST AIPR Lab김기응 교수 | KAIST | 19 | 21 | 1 | |
 Korea Univ., AI and Mobility (AIM) Lab김중헌 교수모집 안내 | 고려대 | 9 | 156 | 58 | |
 Literary Studies at KAIST Lab정서현 교수 | KAIST | 1 | 2 | 4 |
최근 논문
- Can You Share Your Story? Modeling Clients' Metacognition and Openness for LLM Therapist Evaluation
2025, DMH Lab, 언어 및 범용인공지능
- CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages
2025, Music and Audio Computing Lab
- Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
2025, Users and Information Lab
- Comparison-based Active Preference Learning for Multi-dimensional Personalization
2025, Machine Learning Lab, Machine Learning Lab, Machine Learning Lab
- Context-Robust Knowledge Editing for Language Models
2025, 조요한 연구실
- Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
2025, 언어 및 데이터지능 연구실
- Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases
2025, 데이터 인텔리전스
- DAPI: Domain Adaptive Toxicity Probe Vector Intervention, for Fine-Grained Detoxification
2025, 자연어처리연구실
- DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
2025, 정보 및 지능 시스템 연구실
- Debiasing Online Preference Learning via Preference Feature Preservation
2025, AGI-LAB, KAIST, 언어 기계 학습
- Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models
2025, Statistical Artificial Intelligence Lab
- DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction
2025, Machine Learning Lab
- Dialogue Systems for Emotional Support via Value Reinforcement
2025, 조요한 연구실
- DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues
2025, Human Centered Computing Lab(HCCL)
- Diffusion Models Through a Global Lens: Are They Culturally Inclusive?
2025, Users and Information Lab
- Does the Emotional Understanding of LVLMs Vary Under High-Stress Environments and Across Different Demographic Attributes?
2025, Natural Language Processing Lab
- Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information
2025, 데이터마이닝 및 인포메이션시스템 연구실
- Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models
2025, 인공지능 연구실
- Do Large Language Models Have "Emotion Neurons"? Investigating the Existence and Role
2025, Natural Language Processing Lab
- DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning
2025, 기계지능 및 데이터사이언스 연구실