🔥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

SAVE THE DATE! ENAR 2026 Spring Meeting March 15-18, 2026 Indianapolis, IN

The inspiring life journey of David Fajgenbaum, MD is set to become a feature film. The movie aims to capture his determination and crowdsourced research that led to finding his own cure for Castleman Disease using an already FDA-approved drug. spr.ly/60102o5Du

ft. Jingxuan Bao, Shizhuo Mu, Jiong Chen, K S Manu, Y. Cui, Guray Erus, Zhijian Yang, Shu Yang, Z. Wen, Dokyoon Kim, Duy Dương-Trần, PhD, B. Zhao, Christos Davatzikos, Qi Long & Li Shen Dept. of Biostatistics, Epidemiology & Informatics Penn IBI AI2D Penn LDI PennAITech Institute on Aging nature.com/articles/s4146…

“You will always be a Michigan Wolverine. I challenge you to become champions of hope. Believe without a doubt that when given one sliver of a chance that your generation not just can, but will reimagine and reconstruct a better tomorrow for all of us.” 👏 @DerekJeter #MGoGrad

Congratulations to the 2025 Class of IMS Fellows! Each Fellow has demonstrated distinction in research in statistics or probability or has demonstrated leadership that has profoundly influenced the field. See the new Fellows here: imstat.org/2025/05/05/con…

Congrats to E. John Wherry, PhD, Co-Director of the PICI Center at Penn Medicine, on his election to the National Academy of Sciences—one of the highest honors in American science! His discoveries in T cell exhaustion and checkpoint pathways have transformed cancer immunotherapy and continue to

Happy to share that our paper "The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review" will appear in JASA as a Discussion Paper: arxiv.org/abs/2408.13430 It's a privilege to work with such a wonderful team: Buxin, Jiayao, Natalie Collina,

I just wrote a position paper on the relation between statistics and large language models: Do Large Language Models (Really) Need Statistical Foundations? arxiv.org/abs/2505.19145 Any comments are welcome. Thx

🚨New paper🚨 Excited to share our latest on nature today: The PIVOT PENALTY in research. nature.com/articles/s4158… More than five years in the making. Key finding: The impact of new research steeply declines the further a researcher moves from their previous work.

Sukwon Yun Jenna Ballard Tianlong Chen Qi Long 🧵[9/9] 🔗 Links 📄 Paper: arxiv.org/abs/2505.19190 🧑‍💻 Code: github.com/Raina-Xin/I2MoE Massive thanks to the amazing team 💛 Sukwon Yun, Peng Jie, Inyoung Choi, Jenna Ballard, Tianlong Chen, Qi Long We’re thrilled to share this work with the community! #ICML2025

Congratulations to Jiayi Xin Jiayi Xin for leading this exciting #icml2025 paper on a new interaction-aware MoE framework for interpretable multi-modal data integration!

We posted a paper on optimization for deep learning: arxiv.org/abs/2505.21799 Recently there's a surge of interest in *structure-aware* optimizers: Muon, Shampoo, Soap. In this paper, we propose a unifying preconditioning perspective, offer insights into these matrix-gradient

A (not so) new paper on #LLM alignment from a social choice theory viewpoint: arxiv.org/abs/2503.10990 It reveals fundamental impossibility results concerning representing (diverse) human preferences. Another new paper that is follow-up: arxiv.org/abs/2505.20627 It studies an

Great minds think alike! Alan Turing cracked Enigma in WWII; Brad Efron asked how many words Shakespeare knew. They used the same method. We use this method for LLM evaluation—to evaluate certain unseen capabilities of LLMs: arxiv.org/abs/2506.02058

Joint work with Xiang Li, Jiayi Xin, and Qi Long.

👉 Check out our new paper, "Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know?", which explores how much knowledge LLMs don’t show us. Grateful to Weijie Su and Qi Long for their mentorship, and to Xiang Li for spearheading this project. Details below 👇

Should we shut down the field of mechanistic interpretability? arxiv.org/html/2502.2091…

We're so excited to be officially launching CIMBIDColumbia at Columbia Vagelos College of Physicians & Surgeons! Follow us for news and updates as we embark on an ambitious mission to transform medicine and healthcare with #AI and #MedicalImaging! Columbia Radiology The Data Science Institute at Columbia University Herbert Irving Comprehensive Cancer Center Columbia University

An epigenetic (DNA methylation-based) aging clock predicts mortality and intrinsic capacity (functional) decline (including in vision) better than earlier epigenetic clocks. #NIHfunded Buck Institute Nature Aging paper: brnw.ch/21wTDQw

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts ift.tt/4cTUdqm