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
- Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
2025, 데이터마이닝 및 인포메이션시스템 연구실
- ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
2025, 황성주 연구실
- Revisiting Early Detection of Sexual Predators via Turn-level Optimization
2025, Machine Learning Lab, Machine Learning Lab, Machine Learning Lab
- SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data
2025, 정보 및 지능 시스템 연구실
- Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
2025, 오성준 연구실
- Self-Training Meets Consistency: Improving LLMs' Reasoning with Consistency-Driven Rationale Evaluation
2025, HLILab
- SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
2025, 박찬영 연구실
- Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
2025, 주재걸 연구실
- SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models
2025, 머신 인텔리전스 연구실
- Taxonomy and Analysis of Sensitive User Queries in Generative AI Search System
2025, 생물정보 및 생명정보 연구실
- TCProF:Time-Complexity Prediction SSL Framework
2025, 계산이론
- The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
2025, 서민준 연구실
- TinyThinker: Distilling Reasoning through Coarse-to-Fine Knowledge Internalization with Self-Reflection
2025, 데이터공학
- Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity
2025, EffL (Efficient Learning)
- Towards Lifelong Dialogue Agents via Timeline-based Memory Management
2025, 조요한 연구실, 언어 및 데이터지능 연구실, 언어 및 범용인공지능, 데이터인텔리전스
- Towards Reliable and Practical Phishing Detection
2025, 서민준 연구실
- tRAG: Term-level Retrieval-Augmented Generation for Domain-Adaptive Retrieval
2025, 언어 및 데이터지능 연구실
- Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context
2025, 인공지능 연구실
- VLind-Bench: Measuring Language Priors in Large Vision-Language Models
2025, 머신 인텔리전스 연구실
- WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
2025, Users and Information Lab























