자연어처리·LLM, 학회
EMNLP 논문을 낸 국내 연구실
탑티어Empirical Methods in Natural Language Processing. 2023년 이후 논문 301편, 연구실 110곳
이 학회에 논문을 낸 연구실
고려대 장부루 교수신생 랩모집 안내
탑티어 10전체 13구성원 12
대규모 언어 모델AI 안전·정렬
최근 논문
- Self-Training Large Language Models with Confident Reasoning
2025, Machine Learning Lab, Machine Learning Lab, 안성수 연구실, Machine Learning Lab
- SEPS: A Separability Measure for Robust Unlearning in LLMs
2025, 인포메이션시스템즈
- Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
2025, 황성주 연구실
- Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions
2025, COCO Lab
- STEAM: A Semantic-Level Knowledge Editing Framework for Large Language Models
2025, Natural Language Processing Lab
- StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
2025, Data Intelligence Lab
- Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation
2025, 언어 및 범용인공지능, 데이터인텔리전스
- Subtle Risks, Critical Failures: A Framework for Diagnosing Physical Safety of LLMs for Embodied Decision Making
2025, 범용 인공지능 연구실, 언어 인지 및 피지컬 지능 연구실
- Taxonomy of Comprehensive Safety for Clinical Agents
2025, 양은호 연구실
- The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
2025, 언어 및 지능 연구실, Language and Intelligence Laboratory
- Think Clearly: Improving Reasoning via Redundant Token Pruning
2025, AGI-LAB, KAIST
- Think, Verbalize, then Speak: Bridging Complex Thoughts and Comprehensible Speech
2025, 시각 및 학습 연구실
- Thunder-DeID: Accurate and Efficient De-identification Framework for Korean Court Judgments
2025, 천둥 연구실
- TIDES: Technical Information Discovery and Extraction System
2025, 김지희 연구실, MLAI
- ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
2025, 언어 및 범용인공지능
- Topic Coverage-based Demonstration Retrieval for In-Context Learning
2025, Data Intelligence and Learning Lab, Data Intelligence Lab, 데이터과학 및 응용 연구실 (Intelligent Data Science and Applications Lab)
- Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
2025, 데이터인텔리전스
- Training Text-to-Molecule Models with Context-Aware Tokenization
2025, AGI-LAB, KAIST
- TrapDoc: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents
2025, 계산이론
- TRIAL: Token Relations and Importance Aware Late-interaction for Accurate Text Retrieval
2025, Data Systems Lab