Wecome to the HUMANE Lab 😎

Human-Centered Data & Language 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 and hate speech) by developing language and multimodal technologies centered around human values.

Research areas

  • NLP and vision-language multimodal technologies: e.g., contrastive pretraining.
  • AI applications for social problems: e.g., hate speech detection, fact verification.

Achievements

  • Publications at the top-tier conferences: EMNLP 2023, EACL 2023, ACL 2021, etc.
  • Paper awards: 2023년 한국인공지능학회 하계학술대회 최우수 논문상, 한국정보과학회 KSC 2023 우수논문상 등

Ongoing projects

  • 한국연구재단 기본연구 (책임)
  • 정보통신기획평가원 지역지능화혁신인재양성사업 (세부책임)
  • 한국연구재단 4단계 BK21 사업 지능형반도체 기반 고효율 자율형 IoT 디바이스 교육연구단 (참여)

Contact

Kunwoo Park / 박 건우 (kunwoo.park at ssu dot ac dot kr)

News

Mar 8th, 2024

A paper is accepted for publication in IEEE Access. We introduced QuoteCSE++, a data-centric contrastive embedding framework for contextomy detection.

Feb 20th, 2024

A 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, 2023

A study on the LLM's ability of mathematical reasoning won the Outstanding Paper award at KSC 2023 (정보과학회 동계학술대회).

Oct 17th, 2023

A 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, 2023

Our collaborative study with Adobe Research won the Hyundai Motors Best Paper Award at CKAIA (한국인공지능학회).

July 6th, 2023

A 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, 2023

Yejun gave a poster presentation at KCC 2023 (정보과학회 하계학술대회) about cross-lingual experiments using vision language models.

June 5th, 2023

A paper is accepted for publication in JOK (정보과학회논문지). We propose a contrastive learning method for automated fact-checking.

January 27th, 2023

A paper is accepted for publication in EACL 2023 (Findings). We propose QuoteCSE, a contrastive learning method for detecting contextomized news quotes.

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