Human-Centered Language & Information Technologies (HUMANE) Lab at Soongsil University studies deep learning-based language technologies and vision-language multimodal methods. Our research aims to tackle social problems in online platforms (e.g., misinformation, hate speech) by developing LLM-based methods centered around human values.
Kunwoo Park / 박 건우 (kunwoo.park at ssu dot ac dot kr)
We 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.
Feb 20th, 2024A collaborative work with IU has been accepted to LREC-COLING 2024. We investigated how ChatGPT is aligned with human's views on explanation quality.
Dec 21th, 2023A study on the LLM's ability of mathematical reasoning won the Outstanding Paper award at KSC 2023 (정보과학회 동계학술대회).
Oct 17th, 2023A paper is accepted to EMNLP 2023 (Findings) based on collaboration with TUNiB. We introduce K-HATERS, the largest hate speech detection corpus in Korean.
July 17th, 2023Our collaborative study with Adobe Research won the Hyundai Motors Best Paper Award at CKAIA (한국인공지능학회).
July 6th, 2023A joint work with UCLA is accepted for publication in EPJ Data Science (Title: Perceived Gender Cues from Social Media Photographs and its Relations to Electoral Success).
June 20th, 2023Yejun gave a poster presentation at KCC 2023 (정보과학회 하계학술대회) about cross-lingual experiments using vision language models.