자연어처리·LLM, 학회
NAACL 논문을 낸 국내 연구실
탑티어North American Chapter of the ACL. 2023년 이후 논문 92편, 연구실 55곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
COCO Lab김현우 교수신생 랩모집 안내 | KAIST | 9 | 10 | 6 | |
Computer Vision Lab손진희 교수모집 안내 | POSTECH | 49 | 57 | 47 | |
Computer Vision Lab곽수하 교수모집 안내 | POSTECH | 45 | 53 | 47 | |
Data Intelligence and Learning Lab권원빈 교수신생 랩 | 성균관대 | 16 | 18 | – | |
Data Science and Artificial Intelligence Lab한진영 교수 | 성균관대 | 21 | 45 | – | |
Human-centered Intelligent Systems Lab황인석 교수모집 안내 | POSTECH | 6 | 19 | – | |
HYU IDSL Lab김미숙 교수 | 한양대 | 4 | 14 | 11 | |
KAIST AIPR Lab김기응 교수 | KAIST | 19 | 21 | 1 | |
LearnData laboratory박호건 교수모집 안내 | 성균관대 | 20 | 34 | – | |
Learning and Adaptation Algorithms Lab김태섭 교수모집 안내 | 서울대 | 23 | 26 | 26 | |
MIPA Laboratory곽노준 교수 | 서울대 | 33 | 61 | 53 | |
MLAI송경우 교수모집 안내 | 연세대 | 21 | 54 | 39 | |
Multimodal Interactive Intelligence Laboratory (MIIL)서홍석 교수 | 고려대 | 23 | 23 | 18 | |
Natural Language Processing Lab나승훈 교수모집 안내 | UNIST | 14 | 21 | – | |
Vision & AI Lab이정범 교수신생 랩모집 안내 | 고려대 | 8 | 9 | 21 |
최근 논문
- Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
2024, 황성주 연구실
- Advancing Beyond Identification: Multi-bit Watermark for Large Language Models
2024, MIPA Laboratory
- Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
2024, 윤세영 연구실, 황성주 연구실
- COMEM: In-Context Retrieval-Augmented Mass-Editing Memory in Large Language Models
2024, Natural Language Processing Lab
- COMMIT: Code-Mixing English-Centric Large Language Model for Multilingual Instruction Tuning
2024, 언어 및 데이터지능 연구실
- ContrastiveMix: Overcoming Code-Mixing Dilemma in Cross-Lingual Transfer for Information Retrieval
2024, 언어 및 데이터지능 연구실
- Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning
2024, Data Science and Artificial Intelligence Lab
- Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis
2024, Users and Information Lab, 인터랙션 연구실
- Exploring Language Model's Code Generation Ability with Auxiliary Functions
2024, Data Intelligence Lab, 데이터인텔리전스
- Extending CLIP's Image-Text Alignment to Referring Image Segmentation
2024, Computer Vision Lab, 시각 및 기하지능 연구실, Computer Vision Lab
- Fine-grained Gender Control in Machine Translation with Large Language Models
2024, 머신 인텔리전스 연구실
- HIL: Hybrid Isotropy Learning for Zero-shot Performance in Dense retrieval
2024, 언어 및 데이터지능 연구실
- How Well Do Large Language Models Truly Ground?
2024, 서민준 연구실
- Ignore Me But Don't Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
2024, 네트워크 및 시스템 보안 연구실
- Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering
2024, 인공지능 연구실
- IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
2024, 머신 인텔리전스 연구실
- KTRL+F: Knowledge-Augmented In-Document Search
2024, 서민준 연구실
- LifeTox: Unveiling Implicit Toxicity in Life Advice
2024, 머신 인텔리전스 연구실
- LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
2024, 자연어 기반 멀티모달 지능 연구실, 인공지능 연구실
- Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
2024, 조요한 연구실, Learning and Adaptation Algorithms Lab























