Awa Dieng

Huge thanks to everyone who participated in #AFAA2026 for the insightful talks and engaging discussions! Especial shoutout to @zeyu1tang and @prakhar_24 for your incredible work and leading the team! Follow us at @afciworkshop for more updates soon!

That’s a wrap for #AFAA2026!!! 🎉 Thank you to all the authors, attendees, roundtable leads and speakers for the great presentations and insightful discussions! 1/4

Excited for #AFAA2026 workshop at #ICLR2026 today 🎉 Join us for a full day of discussions on Fairness across alignment procedures and agentic systems! - 3 invited talks - 3 roundtables - 1 panel - 6 spotlights - 36 posters 📍Starting at 9am in Room 211, Riocentro Center

For everyone heading to Rio for #ICLR2026, don’t miss the Algorithmic Fairness Workshop #AFAA2026 this Sunday!! We have a great program planned 👇🏾

Incredible work by @BediSuhana42170 and team on HealthAdminBench. Benchmarks that only measure steps will miss end-to-end performance. Great example of what it looks like to actually design for deployment conditions. arxiv.org/abs/2604.09937, Code: github.com/som-shahlab/he…

Hey world! I am looking for a Research Scientist (L4) team match at @GoogleDeepMind and @Google 🚀 I build things with RLHF, Model Evaluation, and Computer Using Agents — from agentic pipelines to RL systems. If you're recruiting, let's talk! My DM is OPEN

We've been working on the Waxal dataset project since 2021, aiming to enhance the amount of data available for African languages. This public speech dataset initially covers 27 Sub-Saharan African languages spoken by over 100 million speakers across more than 26 countries. 🌍

Schmidt Sciences grantees @adjiboussodieng, an AI2050 Fellow, and @Yoshua_Bengio, a Science of Trustworthy AI grantee, were recently appointed by the @UN General Assembly to serve on the inaugural Independent International Scientific Panel on AI: un.org/independent-in…

On Feb 12, the @UN General Assembly formally appointed the 40 members of the first Independent International Scientific Panel on AI. I am honored to join this historic effort to place science at the heart of global #AI governance, ensuring this technology benefits all of humanity. Learn more about the panel members here: lnkd.in/eyVQg7p3 #AI #Science #Governance #Service

Faculty members @adjiboussodieng and @korolova have been named to the @UN Independent International Scientific Panel on AI. Composed of 40 experts, the panel is the first global scientific body dedicated entirely to artificial intelligence. bit.ly/3MuPGRY

Singular Bayesian Neural Networks Mame Diarra Toure, David A. Stephens arxiv.org/abs/2602.00387 [𝚜𝚝𝚊𝚝.𝙼𝙻 𝚌𝚜.𝙻𝙶 𝚜𝚝𝚊𝚝.𝙰𝙿]

🚨 Deadline Extended to Feb 5 (AoE)! CFP still OPEN for the #AFAA2026 Workshop at @iclr_conf — on fairness across alignment & agentic AI systems. Full & tiny papers welcome • Interdisciplinary work encouraged! 🔗 afciworkshop.org #ICLR2026 #AFAA2026

🚨The deadline has been extended to February 05!! 🚨 Consider submitting your drafts, either to the full paper track (6-9 pages) or the tiny paper track (1-3 pages). We accept dual submissions to other conferences. See details at afciworkshop.org

Major release from our group today: “End-to-End Test-Time Training” (TTT-E2E). We show that continual learning enables strong long context performance without changing the underlying architecture!

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks potentially leading to better battery chemistry, more efficient carbon capture and improved access to clean water. bit.ly/4ptp3u6

Excited for the next edition of the Algorithmic Fairness workshop, this time at #ICLR2026! Consider submitting your work (full or short papers) by Jan 31. See the full call for papers below 👇🏾

With support from @StanfordHAI, a team of Stanford researchers investigates when and why current domain generalization benchmarks fall short and how they might be improved: stanford.io/4kTMQl3

Our paper introducing Alternators has been accepted at TMLR. Alternators are a new class of generative models that outperform state-space models, such as Mambas, and diffusion models such as ScoreGrad. Check it out! GitHub: github.com/vertaix/Altern… Paper: openreview.net/forum?id=Q70C1…

#NewPaper What does the concept of information have to do with diversity? Introducing the Vendi Information Gain, a new way of quantifying information in science and machine learning using diversity ☀️ 🗝️Shannon introduced mutual information (MI) in 1948 in his seminal paper titled "A Mathematical Theory of Communication," which birthed information theory. MI has since pervaded science and engineering. However, MI has several limitations that become more pronounced in high dimensions and/or under limited data. 💡Our new paper proposes a flexible alternative to MI that scales nicely to high dimensions and works well under limited data settings. We call it the Vendi Information Gain (VIG). VIG is defined as the difference between the marginal Vendi entropy of a random variable and its conditional Vendi entropy given another variable. Here we use "Vendi entropy" to mean the logarithm of the Vendi Score. 🟩 VIG has many nice properties, all of which we describe in the paper. In particular, it generalizes MI. MI appears as a special case of VIG when you assume there are no similarities between samples. Importantly, VIG doesn't require specifying a probability distribution over samples like MI does: it works directly with samples! Finally, VIG is asymmetric, reflecting the natural asymmetry of information. We demonstrate other properties in the paper. 🆕VIG allows us to develop a novel information-theoretic framework for active data acquisition, a paradigm widely used in data-driven science. This framework outperforms STRADDLE, considered SOTA in level-set estimation. 🧾We demonstrate VIG empirically in many applications, including in cognitive science to model human response times to external stimuli, in epidemiology to model epidemic processes and detect disease hotspots in many countries via level-set estimation. #InformationTheory #VendiScoring #Vertaix #Princeton @PrincetonCS Link to paper: arxiv.org/abs/2505.09007 Authors: Quan Nguyen (@the_subtrahend) and Adji Bousso Dieng (@adjiboussodieng)

📣 Proud to share HealthBench, an open-source benchmark from our Health AI team at OpenAI, measuring LLM performance and safety across 5000 realistic health conversations. 🧵 Unlike previous narrow benchmarks, HealthBench enables meaningful open-ended evaluation through 48,562 unique physician-written rubric criteria spanning several health contexts (e.g., emergencies, global health) and behavioral dimensions (e.g., accuracy, instruction following, communication). Blog, paper, code: openai.com/index/healthbe…