Welcome to the HUMANE Lab 😎
HUMANE Lab (Human-centered Language and Data Intelligence Lab) at Soongsil University studies language and multimodal AI technologies based on large language models (LLMs). Our work focuses on developing human-centered AI methods driven by real-world data to address societal challenges such as misinformation and bias.
숭실대학교 사람 중심 언어 및 데이터 지능(휴메인) 연구실은 LLM 기반의 언어 및 멀티모달 인공지능(AI) 기술을 연구합니다. 실제 데이터에 기반한 사람 중심 AI 기술을 개발하여 허위 정보와 편향 등 사회적 난제를 해결하는 것을 목표합니다.
주요 연구 분야
- AI for Social Good: fact checking, stance detection, bias mitigation, etc.
- Human-centered NLP: fairness, factuality, LLM as agents, NLP for vision, etc.
핵심 성과
- 국제 저명 학술대회 논문 발표: ACL, EMNLP 등
- 인공지능 팩트체킹 세계대회 입상: 2025(2위), 2024(2위)
- 논문상 수상: 한국인공지능학회 최우수논문상(2023) 등
언론 보도
- [팩트추적] 분열과 혐오도 맞춤 배달… ‘추천 알고리즘’의 덫 (YTN)
- 숭실대 AI융합학부 박건우 교수 연구팀, 자동화 팩트체킹 국제대회에서 2위 차지 (한겨례)
- 카카오, ‘공공선 포럼’서 사회 문제 해결 위한 플랫폼 기업 역할 강조 (뉴시스)
- 튜닙-숭실대 공동 연구팀, EMNLP 2023 파인딩스에 논문 게재 (IT Daily)
- 숭실대 윤예준 학부생, 2023 한국인공지능학회 하계학술대회 현대자동차 최우수논문상 수상 (조선일보)
- [Q플러스] AI가 기사 쓰고 팩트체크까지…기자는 사라질까? (KBS)
Contact
Kunwoo Park / 박 건우 (kunwoo.park at ssu dot ac dot kr)
연구 협업, 산학 협력 등 다양한 형태의 협업을 환영합니다.
News
Nov 14th, 2025Jaeyoon Jung presented his ongoing work on multimodal fact-checking at the Human-centered AI Workshop, co-located with CIKM 2025.
Oct 1st, 2025Dahyun Lee was awarded the Best Presentation Award at the HCLT 2025 (한글 및 한국어 정보처리 학술대회).
Aug 21th, 2025Our paper has been accepted to EMNLP 2025. We present an agentic in-context learning method that addresses long-context challenges in news stance detection, along with a novel dataset.
May 16th, 2025A paper has been accepted to ACL 2025 (Findings), uncovering potential data leakage in LLM-based query expansion and highlighting its limitations for real-world fact verification.
May 13th, 2025Building on last year’s success, we have once again secured second place in the fact-checking challenge at the FEVER workshop, co-located with ACL 2025.
Nov 11th, 2024Prof. Park won the Outstanding Reviewer Award at EMNLP 2024.
Sep 30th, 2024We placed runner-up at the AVeriTeC challenge, aiming to verify real-world claims using LLMs (collaboration with maum.ai and Adobe Research). Our system is invited as an oral presentation at the FEVER workshop co-located with EMNLP 2024.
May 16th, 2024A joint work with Adobe Research has been accepted to ACL 2024.
Mar 8th, 2024A paper is accepted for publication in IEEE Access. We introduced QuoteCSE++, a data-centric contrastive embedding framework for contextomy detection.