Stanford SALT Lab (original) (raw)
Welcome to the Stanford SALT Lab!
Stanford Social and Language Technologies (SALT) lab studies socially aware NLP. We are part of the Stanford NLP Group.
Broadly, we research the social aspects of human language (e.g., what is said, who says it, in what context, for what goals), via methods of natural language processing, deep learning, and machine learning as well as theories in social science and linguistics, with the implications of developing interventions to facilitate human-human and human-machine communication.
Recent News
| 5/2026 | Four papers from SALT are accepted by ICML 2026. See you in Seoul! |
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| 1/2026 | SALT lab has three papers accepted to CHI 2026 and seven papers accepted to ICLR 2026. We are actively making progress on both the AI and HCI side of human-centered AI! |
| 11/2025 | Our two spotlight papers have been accepted to NeurIPS 2025! |
| 05/2025 | SALT lab has seven papers accepted to ACL 2025 Main/Findings and ICML 2025! |
| 01/2025 | SALT lab has two papers on AI for frontend developing accepted to NAACL 2025 and four papers accepted to ICLR 2025! |
| 09/2024 | SALT lab has seven papers accepted to EMNLP 2024 (three to the main conference and four to the findings). We also have two papers accepted to CSCW. Congrats on these amazing efforts! |
| 08/2024 | Diyi gave an invited talk at GenAI summit in Vietnam. |
| 08/2024 | Our group's research on aligning AI chatbots is covered by Stanford HAI. Read the coverage! |
| 07/2024 | Dynamic LLM-Agent Network is accepted to the first COLM. Congratulations to Zijun and Yanzhe! |
| 05/2024 | SALT Lab has seven papers accepted to ACL 2024, three to the main conference and four to the findings. See you in Bangkok! |
| 03/2024 | Omar's paper "Grounding or Guesswork? Large Language Models are Presumptive Grounders" is accepted to NAACL main conference. Check out the preprint. |
| 02/2024 | Diyi received 2024 Sloan Research Fellowships. |
| 02/2024 | Diyi received ONR Young Investigator Award. |
| 11/2023 | Jiaao passed his thesis proposal! |
| 10/2023 | Camille's CSCW 2023 paper has been awarded Recognition for Contribution to Diversity and Inclusion! |
Group Photos
Contact Us
Thank you so much for your interest in our work!
We are actively looking for students and postdocs. SALT Lab welcomes applicants from diverse backgrounds. Students with backgrounds that are underrepresented or underserved in AI/NLP are especially encouraged to apply.
Prospective Postdocs
We are currently looking for 1-2 post-docs. Applicants are expected to have a prior publication record in top tier natural language processing, computational social science, and/or machine learning conferences. Please complete this form if you are interested in applying to be a postdoc in our lab. After completing the form, please email Prof. Yang (diyiy@cs.stanford.edu).
Prospective PhDs
We are always looking for strong PhD students with interests in NLP and Computational Social Science. Please do not email me regarding the PhD admission as admission decisions are made by a committee. If you are an admitted or a current PhD student at Stanford, please email Prof. Yang directly (diyiy@cs.stanford.edu).
Stanford Undergraduate and Masters
We are happy to work with masters or undergraduate students. Please apply via CLiPS if you are interested in research positions at the Stanford NLP Group. Alternatively, you can also fill this form before we fully migrate to CLiPS. We expect applicants to have some prior experience in NLP or ML (prior research experience is not required), and a minimum of 10 hours per week commitment to research. After completing the form, please email Prof. Yang via diyiy@cs.stanford.edu.
Outside of Stanford
We take visitors on a rolling basis, and generally prefer visitors to stay for at least 6 months for high-quality work. If you are not a Stanford student and interested in visiting our research lab, please fill this form.
Funding
We would like to thank the following sponsors and funding agencies for supporting our research: NSF, Amazon, Cisco, DARPA, Facebook, Google, Intel, JPMorgan Chase, Microsoft Research, NVIDIA, ONR, Russell Sage Foundation, Salesforce, Stanford HAI, and Stanford Impact Lab.