Hang Jiang

Graduate Student

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Groups

Publication

AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism

William Brannon, Doug Beeferman, Hang Jiang, Andrew Heyward, & Deb Roy (2024). AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism. In Proceedings of CSCW. URL: https://arxiv.org/abs/2407.12613

Publication

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling

Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, and Jad Kabbara. 2024. Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7194–7219, Bangkok, Thailand.

Publication

CommunityLM: Probing Partisan Worldviews from Language Models

Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy. 2022. CommunityLM: Probing Partisan Worldviews from Language Models. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), pages 6818–6826, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.

Publication

Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications

Hua, Yining*, Hang Jiang*, Shixu Lin, Jie Yang, Joseph M. Plasek, David W. Bates, and Li Zhou. "Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications." Journal of the American Medical Informatics Association (2022). *Equal Contribution.

Publication

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking

Jiang, Hang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, and Alexander Gray. "LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking." ACL (2021).