Research
Research Agenda
Any research topic related to natural language processing and A(G)I is within the interest of HYU NLP Lab. members.
Specifically, we are recently paying more attention to the topics such as:
Reliable AGI
Safety and alignment
Abstention & refusal with epistemic humility
Uncertainty
Science of LLMs: Studying LLMs as an object of science
Probing LLMs from a linguistic (or other disciplinary) perspective
Mechanistic intepretability
Effective utilization of LLMs
In-context learning and steering
Knowledge managment: unlearning, knowledge editing / conflict, knowlege graph
Dialogue systems with long-term memory
Scaling test-time compute (meta-generation): RL-based methods
LLM agents
Multi-agents
Simulated / emboddied agents
Self-improvement, self-refine, self-reflection
Equivalent benefits of NLP/LLMs
Multilingual / multicultural language models
Korean NLP
Application to other fields: AI for Social Science
Embedding and Retrieval
Sentence representation learning (contrastive learning)
Retrieval-augmented generation
Multimodality
Multi-modal (or cross-modal) multi-hop reasoning
Multimodal retrieval
Projects
책임 연구
초장기기억 기반 대화형 에이전트, 한국연구재단 (NRF)-우수신진연구, 2025-2028
음성인식 고도화를 위한 복합의도 모델 연구, 현대자동차 (현대 NGV), 2024-2026
자연어 기반 복합 의도 알고리즘 연구, 현대자동차 (현대 NGV), 2023-2024
대규모 언어 모델 기반 고품질 문장 표현 학습을 위한 효율적인 방법론 분석 및 개발, 한국연구재단 (NRF)-기본연구, 2022-2024
음성인식 자연어처리엔진의 차량 도메인 언어 이해 향상을 위한 사전학습언어모델 아키텍처 고도화, 현대자동차 (현대NGV), 2022-2023
공동 연구
인공지능반도체대학원(한양대학교), 정보통신기획평가원 (IITP), 2023-
초연결사회 위험 관리를 위한 빅데이터 기반 사회 환경 실시간 모니터링/사회 시뮬레이션 시스템, 한국연구재단 (NRF), 2022-2025
한양대학교 컴퓨터소프트웨어학과 BK21-FOUR 인공지능 혁신인재 교육단, 한국연구재단 (NRF), 2022-
한양대학교 인공지능대학원지원사업, 정보통신기획평가원 (IITP), 2021-
Lab Seminar
Visit here!
Lab History
(24/08/22) Yejin and Jii have graduated with their Master's degrees. Wish them all the best! Yejin is going to begin her Ph.D. studies!
(24/06/14) Four (3 oral and 1 poster) papers have been accepted for presentation at KCC 2024. Congrats to Yejin, Jungyeon, Jisu, Youngwoo, Kang Min, Dong Geon, and Jungmin! Also excited to share 한국어 발화의 다중 의도 감지 연구 (Multi-Intent Detection for Korean Spoken Language) has received the Outstanding Paper Award (우수논문상) from the conference!
(24/05/16) Two papers, 1. Analysis of Multi-Source Language Training in Cross-Lingual Transfer (authors: Seong Hoon, Taejun, Jinhyeon) 2. Hyper-CL: Conditioning Sentence Representations with Hypernetworks (authors: Young Hyun, Jii, Changhyeon), have been accepted for presentation at ACL 2024. Big congrats to the authors!
(24/02/20) One paper (BlendX: Complex Multi-Intent Detection with Blended Patterns) has been accepted for presentation at LREC-COLING 2024. Big congrats to Yejin, Jungyeon, and Kangsan!
(24/02/15) Jinhyeon, Young Hyun, Taejun, and Seong Hoon have graduated with their Master's degrees. Wish them all their best!
(23/11/22) One paper has been accepted to KSC 2023. Congrats to Jii!
(23/10/08) Two papers (X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity & Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP) have been accepted at EMNLP 2023 (Findings). X-SNS is especially our first internal project that will be showcased at a major conference. Congrats to Taejun, Jinhyeon, Deokyoung, and Seong Hoon. See you in Singapore!
(23/09/25) Two papers have been accepted to HCLT 2023. Congrats to Jinhyeon and Taejun!
(23/06/30) Updated the contents regarding our journey to KCC 2023, which took place on the Jeju island. At the conference, Seong Hoon presented his work titled Enhanced Zero-Shot Cross-Lingual Transfer with the Diversification of Source Languages.
(22/11/25) One paper (Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners) has been accepted to AAAI 2023. Congrats!
(22/10/16) Taeuk, Kangsan, Jinhyeon, Minjin, and Kyumin participated in COLING 2022.
(22/10/07) Two papers (Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations and Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble) for which Taeuk participated as a corresponding author have been accepted to EMNLP 2022 (1 Main, 1 Findings). They are the results of a collaboration with SNU and Naver. See you in Abu Dhabi!
(22/10/04) One paper (Comparison and Analysis of Unsupervised Contrastive Learning Approaches for Korean Sentence Representations) has been accepted to HCLT 2022 (authors: Young Hyun, Kyumin, Minjin, Jii, Kangsan, and Taeuk). Congrats!
(22/08/17) Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models (authors: Taeuk) has been accepted to COLING 2022. See you soon in Gyeongju!
(22/05/22) Taeuk has been invited to serve as an Area Chair for the Unsupervised and Weakly-supervised Methods Track of EMNLP 2022.
(22/04/13) HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization (authors: Youngju and Taeuk) has been accepted to SemEval 2022. Congrats!
(21/10/15) Taeuk has been nominated to serve as an Action Editor for the ACL Rolling Review (a new reviewing platform for *ACL conferences)!
(21/08/26) One paper (Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models) is accepted at EMNLP 2021 Findings.
(21/08/03) Taeuk presented his work Self-Guided Contrastive Learning for BERT Sentence Representations at ACL 2021.