
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.
Kunwoo Park / 박 건우 (kunwoo.park at ssu dot ac dot kr)
연구 협업, 산학 협력 등 다양한 형태의 협업을 환영합니다.
We, led by Jaeyoon and Yejun, won first place in the multimodal fact-checking challenge hosted by the FEVER workshop (co-located with EACL 2026).
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.