Photo shot in summer 2019.

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Hi, I am a 4th-year Ph.D. candidate at MIT advised by Professor Deb Roy. I am affiliated with MIT Center for Constructive Communication and MIT Media Lab. My research goal is to understand and bridge human communications with AI.

#AI4Comm #NLP: I develop new ML/NLP methods to understand human communications and foster constructive communication. My research interests lie at the intersection of Natural Language Processing (NLP), Human-Centered AI (HCAI), and Computational Social Science (CSS). I am also interested in exploring the use of AI to facilitate social science research and drawing from social and cognitive sciences to understand the behaviors of foundation models.

Previously, I graduated with M.S. in Symbolic Systems from Stanford University, where I was fortunate to be advised by Professor Michael C. Frank. I was affiliated with both Stanford LangCog Lab and Stanford NLP Group. Before Stanford, I spent the best 4 years as an undergraduate in Computer Science and Linguistics at Emory University, where I worked with Jinho D. Choi in Emory NLP Lab.

I am open to discussions about research opportunities or potential collaborations. I am constantly mentoring students who are highly motivated to make a social impact through AI.


News


Selected Publications

(* indicate equal contribution)
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 ‘Sandy’ Pentland, Yoon Kim, Deb Roy, and Jad Kabbara
arXiv 2024
[arXiv] [Code]
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
Hang Jiang, Xiajie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy, and Jad Kabbara
NAACL (Findings) 2024
[arXiv] [Code] [IC2S2]
Covered by [Science] [ACM]
CommunityLM: Probing Partisan Worldviews from Language Models
Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy
COLING 2022
[Paper] [arXiv] [Code] [Video] [Slides] [Poster] [Models]
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang*, Hang Jiang*, Yasuhide Miura, Christopher D. Manning, and Curtis P. Langlotz
MLHC 2022
[Paper] [OpenReview] [arXiv] [Video]
ConVIRT inspired OpenAI's CLIP [Paper] [Blog]
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis
Hang Jiang*, Yining Hua*, Doug Beeferman, and Deb Roy
LREC 2022
[Paper] [arXiv] [Code] [Slides] [Poster] [Video]
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
Hang Jiang*, Sairam Gurajada*, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander Gray
ACL 2021
[Paper] [arXiv] [Code] [Slides] [Video]
Oral Presentation

Selected Honors



Teaching