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. My research goal is to foster a healthier, more equitable, and more pluralistic society with NLP technologies through two complementary approaches: (1) Developing state-of-the-art NLP/ML models to understand diverse perspectives, (2) Designing and evaluating human-AI systems that promote constructive dialogue across differences.

My research lies at the intersection of natural language processing (NLP), human-centered AI (HCAI), and computational social science (CSS), with a particular emphasis on large language models (LLMs). In Spring 2023, I co-initiated and co-instructed a new graduate seminar on Generative AI for Constructive Communication: Evaluation and New Research Methods at MIT.

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