🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

If you're interested in LLM fact tracing and information retrieval, join me as I present our work, FASTTRACK at Session F (Jasmine) on Thursday at 10:30 AM. Also big thanks to my coauthors! Feiyang Kang Ning Yu Ruoxi Jia #EMNLP2024

Small matter of Virginia Tech pride! Google Scholar turns 20 today 🎉🎉🎉 Kudos to its creators, Anurag Acharya and Alex Verstak. Fun fact: Alex was my second MS thesis graduate at Virginia Tech Computer Science! ✨ See these nice articles covering their work ⬇️ 1. blog.google/outreach-initi… 2.

I've spent the last two years scouring all available resources on RLHF specifically and post training broadly. Today, with the help of a totally cracked team, we bring you the fruits of that labor — Tülu 3, an entirely open frontier model post training recipe. We beat Llama 3.1

Join us Tuesday at 1:30 PM PT at #NeurIPS2024 for our tutorial on data selection for foundation models! With Ludwig Schmidt & Tianhao Wang ("Jiachen"), we'll cover principled experimentation, selection algorithms, a unified theoretical framework, and open challenges. Hope to see you there!

Here’s my slide deck from the tutorial. Thanks to everyone who attended yesterday - it was a super rewarding process to prepare for this! tinyurl.com/5b524eaz

Here are all three parts of the slides for "Advancing Data Selection for Foundation Models: From Heuristics to Principled Methods" tutorial at NeurIPS yesterday! Part 1 (Intro + Empirical Methods): tinyurl.com/yc5bhfbn Part 2 (Principled Methods): tinyurl.com/3mzbue3j

I will be presenting our NeurIPS spotlight work on gradient-based online data selection for LLMs today (12/12) at 4:30-7:30pm PST (East Hall #4400). Big thanks to my amazing collaborators Ruoxi Jia Tong Wu Dawn Song Prateek Mittal Please feel free to come by and

Excited to announce the ICLR 2025 Workshop on Data Problems for Foundation Models (DATA-FM)! We welcome submissions exploring all aspects of data in foundation model research, including but not limited to data curation, attribution, copyright, synthetic data, benchmark, societal

Submission deadline AoE today for our Workshop on Data Problems for Foundation Models! Look forward to your contributions!

Ph.D. student Yi Zeng 曾祎 looks at new way of jailbreaking LLMs -- treating them as human-like communicators to examine the interplay between everyday language interaction and AI safety. #VTInnovationCampus opening he discussed his work The Sanghani Center at Virginia Tech. tinyurl.com/4ma7725v

If you are attending ICLR, check out Yi’s work that presents a systematic way of understanding AI safety risks as well as a policy-grounded benchmark!

Thrilled to receive ICLR'25 Outstanding Paper Honorable Mention! Heartfelt thanks to my incredible mentors Ruoxi Jia Dawn Song Prateek Mittal James Zou. I'll be giving two oral presentations on our recent work in training data attribution & co-organizing a workshop on

Delighted to share that two papers from our group Princeton Engineering got recognized by the ICLR 2026 award committee. Our paper, "Safety Alignment Should be Made More Than Just a Few Tokens Deep", received the ICLR 2025 Outstanding Paper Award. This paper showcases that many AI

Congrats Dawn Song you are the inspiration to many of us!

It was challenging to organize the workshop as the sole in-person organizer, and I’m deeply grateful to everyone for their incredible support in making it a great success. Danqi Chen Peter Henderson Kyle Lo Vahab Mirrokni Bryan Kian Hsiang Low Xinran Gu Brandon Trabucco Zheng Xu, Edward Yeo,

LMArena is widely used for model evaluation, but is it measuring true progress? 🔮 In our work, "The Leaderboard Illusion", we reveal: 🔒 Private testing 📊 Data access asymmetries ⚠️ Overfitting risks 🚫 Silent deprecations Despite best intentions, arena policies favor a few!

🚀 Exciting Announcement! 🚀 Get ready for the 18th ACM Workshop on Artificial Intelligence and Security (AISec 2025)! 📍Co-located: ACM CCS 2024 🗓️ Deadline: June 20th, 2025 🌐 Website: aisec.cc w/ Ruoxi Jia and Matthew Jagielski