Photo shot in summer 2019.

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I am on the academic job market during the 2024-2025 year!

Hi, I am a final-year Ph.D. candidate at MIT advised by Professor Deb Roy. I am affiliated with MIT Center for Constructive Communication and MIT Media Lab. #AI4Comm #NLP #HCI #CSS

My research goal is to foster a more pluralistic society with NLP. To achieve this goal, I develop NLP/ML models to understand human communication at scale and build human-AI systems to cultivate pluralistic human minds. My research focuses on the intersection of computational social science (CSS), human-computer interaction (HCI), and natural language processing (NLP), with a particular emphasis on large language models (LLMs).

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 have also enjoyed fun summers at AI2, Google, IBM, Apple, ETS, and CMU.

I welcome inquiries on PhD applications, research opportunities, and collaborations, particularly from underrepresented groups. I actively mentor students passionate about developing AI for social good.


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
ACL 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
[Paper] [arXiv] [Code] [Slides] [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