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
- How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
2026, 데이터 사이언스 연구실, 머신 인텔리전스 연구실
- Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
2026, 신기정 연구실, 자연어처리 연구실
- ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment
2026, 패턴인식 및 머신러닝 연구실
- Incomplete Prompt Jailbreaks in Large Language Models
2026, Statistical Artificial Intelligence Lab
- Injecting Context via Situation Working Memory for Logical Reasoning with LLMs
2026, 소프트컴퓨팅
- Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
2026, Users and Information Lab, 언어 인지 및 피지컬 지능 연구실
- Jailbreaking Multimodal Large Language Models using Multi-Clip Video
2026, 데이터사이언스사회분석연구실
- K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology
2026, Statistical Artificial Intelligence Lab
- Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation
2026, MIPA Laboratory
- Late Code Chunking: A Code Chunking Strategy for Repository-Level Code Completion
2026, 이은석 연구실
- LayerNorm Induces Recency Bias in Transformer Decoders
2026, 최윤재 연구실
- Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction
2026, 조요한 연구실
- Let LLM Tutors Ask First: Proactive LLM-Based Tutoring at Scale in a 1, 500-Student Online Classroom
2026, Korea Univ., AI and Mobility (AIM) Lab
- LLM as a Risk Manager: LLM Semantic Filtering for Lead-Lag Trading in Prediction Markets
2026, Financial Engineering Lab. 금융공학연구실
- LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction
2026, 인터넷컴퓨팅
- LoCar: Localization-Aware Evaluation of In-Vehicle Assistants through Fine-Grained Sociolinguistic Control
2026, Users and Information Lab
- Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models
2026, EffL (Efficient Learning)
- Machine Behavior in Relational Moral Dilemmas: Moral Rightness, Predicted Human Behavior, and Model Decisions
2026, 데이터 사이언스 연구실
- MASEval: Extending Multi-Agent Evaluation from Models to Systems
2026, 오성준 연구실
- MATA: Multi-Agent Framework for Reliable and Flexible Table Question Answering
2026, 인공지능 및 빅데이터 시스템 연구실