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We just heard from Yann LeCun — one of the many great speakers on the line up at today’s Princeton University Symposium on Safe Deployment of Foundation Models in Robotics ai.princeton.edu/princeton-symp…

UPCOMING PASS SEMINAR, 11/19 at 1pm ET! Speaker: Gillian Hadfield from University of Toronto Live: youtube.com/@PrincetonPLI/… Recordings later at: youtube.com/@PrincetonPLI

Happening today! You can submit your questions for Gillian here: forms.gle/3aoVC7jrG5NYpS…

TOMORROW PASS SEMINAR, 12/3 at 1pm ET! Speaker: Percy Liang from Stanford University Live: youtube.com/@PrincetonPLI/… Recordings later at: youtube.com/@PrincetonPLI

SimPO is a new method from Princeton PLI for improving AI models using preference data. It is simpler than last year's DPO and often outperforms it. Within a few months it has been widely adopted in models that have hit the top of the chatbot arena leaderboard in their

Tom Griffiths (@CoCoSciLab) is daring to #VentureForward shaping the future of #AI research at Princeton University.

.NeurIPS Conference, the top AI and ML conference, wrapped up in Vancouver yesterday. PLI is proud to feature the work of our students, post-docs, and faculty that was showcased at the conference: pli.princeton.edu/blog/2024/prin…

Quanta Magazine featured our work on emergence of skill compositionality (and its limitations) in LLMs among the CS breakthroughs of the year. tinyurl.com/5f5jvzy5. Work was done over 2023 Google DeepMind and Princeton PLI. Key pieces: (i) mathematical framework for

Advance in automated math proofs (Lean) from Princeton PLI and collaborators. Better than Deepseek-Prover 1.5 --and currently we use only SFT, no RL! (RL version forthcoming). Planned release: dataset of 1.78M formalized proofs to turbocharge open efforts. Key idea:

Welcome to the official X for the Princeton Laboratory for Artificial Intelligence (“AI Lab” for short). Our mission is to support and expand the scope of AI research Princeton University Follow our page for the latest updates on events, news, research, and more at the AI Lab

As AI becomes increasingly complex, new language is needed to improve communication between humans and machines, Google DeepMind senior staff research scientist Been Kim said in a lecture Princeton University Watch the talk: bit.ly/4jhz5Mi

Welcome to the AI Lab blog, a place for researchers across Princeton University to share their latest work related to AI. Our first post examines a problem at the intersection of network security and machine learning, from Minhao Jin and Maria Apostolaki: bit.ly/3Y8RsuP

We are proud to highlight the work of the PLI students, post-docs, and faculty which is being showcased at this year's ICLR 2025: pli.princeton.edu/blog/2025/prin…

We're so proud that Princeton researchers have received 1 outstanding paper award and 1 honorable mention at ICLR 2025 2025 Congratulations to Peter Henderson, Xiangyu Qi, Prateek Mittal, Ashwinee Panda @ ICLR 2025, Tianhao Wang ("Jiachen") @ICLR, and Kaifeng Lyu blog.iclr.cc/2025/04/22/ann…

We are hosting the The ML Reproducibility Challenge 2025 on Aug. 21. There will be a mix of invited talks, oral presentations, and poster sessions. Keynote speakers include Arvind Narayanan, Soumith Chintala, Jonathan Frankle, Jesse Dodge and Stella Biderman Register now: bit.ly/4cP8vIq

In our latest blog post, Happy B. Kasumba, Alexander Wettig, David Ifeoluwa Adelani 🇳🇬, and Christiane Fellbaum describe the training setting and data for producing Lugha-Llama, an Africa-centric language model Read now: blog.ai.princeton.edu/2025/04/22/lug…

In our blog’s new Deep Dive Series, Anil Ananthaswamy describes how a team at Princeton PLI, including Sanjeev Arora, are looking to answer the questions: Do LLMs experience metacognition? And if so – how can it be leveraged to give models new skills? blog.ai.princeton.edu/2025/04/29/dee…

In a new blog post, Howard Yen and Xi Ye introduce HELMET and LongProc, two benchmarks from a recent effort to build a holistic test suite for evaluating long-context LMs. Read now: pli.princeton.edu/blog/2025/long…

Get to know the AI Lab's postdoctoral researchers with our new Q&A series, Meet the Postdoc First up, we're spotlighting Kawin Ethayarajh, who works on understanding how AI will operate as a part of human systems with Princeton PLI: ai.princeton.edu/news/2025/meet…

Yesterday the AI Lab hosted a year-end celebration to reflect on the work supported by our research initiatives and celebrate our collective achievements. Thanks to everyone who made this year a success — we look forward to the exciting path ahead!