Research Interests
Our lab is dedicated to advancing the frontier of Trustworthy, Knowledge-Grounded AI. Our core mission is to develop truthful and safe language models and AI agents that provide reliable, verifiable information to users by effectively augmenting external knowledge.
Our foundational work in Natural Language Processing spans across Knowledge-Grounded Generation, Hallucination Detection and Mitigation, and building robust Conversational AI systems.
Building on this foundation, our research agenda is unified under the goal of creating verifiably safe and aligned AI agents, from single-agent reliability to complex multi-agent collaboration. Our research is organized around three core pillars:
Foundational Language Intelligence: Context Engineering and Memory
We focus on the core cognitive capabilities of language agents - how they acquire, manage, and reason with information to build a reliable understanding of the world. We are pioneering advanced context engineering techniques to ensure that agent actions are grounded in accurate and relevant knowledge.
Main Topics: Advanced Agentic RAG, Agentic Memory
Verifiable Safety and Policy Alignment in Language Agents
We address the critical challenge of ensuring that language agents operate safely and in accordance with human values and explicit rules. Our goal is to make agent behavior not just reliable but provably safe by leveraging our deep expertise in NLP safety.
Main Topics: Policy Adherence & Alignment, Safe Agent Design & Evaluation
Collaborative Intelligence in Multi-Agent Systems
We extend our language-centric research from single agents to the complex, interactive dynamics of multi-agent systems. We aim to lead the development of frameworks that ensure these collaborative systems are effective, safe, and aligned.
Main Topics: Multi-Agent Orchestration, Safety for Multi-Agent Systems, Role-Playing Agents
Collaborators
Our group encourages collaboration with researchers from other institutions and research groups to widen the horizon of our research capability. We are undertaking a project or will collaborate with the following institutes.
Research Projects
Plug-in 가능한 외부 메모리를 통한 거대 언어 모델 지식 증강 (2025-2026, 한국연구재단)
초개인화 패션 AI 에이전트와 실감형 가상 피팅이 결합된 차세대 OWO 리테일 시스템을 통한 구매 증진 (2025-2028, 산업통상자원부)
서울시 핀테크 기술사업화 지원사업 (2025-2026, 서울경제진흥원)
금융기관 리스크/고객 관리를 위한 금융거래내역(통장/카드) 분류 LLM(Large Language Model) 시스템 개발 (2025, 중소벤처기업부)
LLM 기반 Claim Report 생성 기술 개발 (2025-2026, 두산에너빌리티)
의료 인공지능 특화 융합인재 양성 사업 (2025-2029, 보건복지부)
LLM 기반 리스크 예측 시스템 개발 (2024-2025, 두산에너빌리티, Completed)
Factual Error Correction of Abstractive Summaries (2024, Adobe Research)
인공지능대학원 지원사업 (2021-2030, IITP)
RAG 기반 대화형 질의응답 시스템 개발 (2024, (주)URP, Completed)
LLM 기반 음성인식 오류 탐지 및 정정 기술 개발 (2024, 서울시 120 다산콜재단, Completed)
연료 전지 이상 탐지 기술 개발 (2023, 두산퓨얼셀, Completed)