EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅 EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu eurips.cc

NeurIPS has decided to do what ICLR did: As a SAC I received the message 👇 This is wrong! If the review process cannot handle so many papers, the conference needs yo split instead of arbitrarily rejecting 400 papers.

🎉 Delighted to announce that our 🫗Leaky Thoughts paper about contextual privacy with reasoning models is accepted to #EMNLP main! Huge congrats to the amazing team Tommaso Green, Haritz Puerto @coallaoh.bsky.social @oodgnas.bsky.social

Are you afraid of LLMs teaching people how to build bioweapons? Have you tried just... not teaching LLMs about bioweapons? @eleutherai.bsky.social‬ and the UK AISI joined forces to see what would happen, pretraining three 6.9B models for 500B tokens and producing 15 total models to study

Are you an XAI researcher attending #ICCV2025? Submit your recently published work — at CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI etc. — to the eXCV Workshop for the opportunity to further showcase your work! Published papers can be submitted as is, no rewriting necessary. @iccv.bsky.social

We’re excited to welcome @nicoleludwig.bsky.social as a Junior Professor for Climate, Energy & Machine Learning Systems! Learn more: →https://tuebingen.ai/news/junior-professor-nicole-ludwig-joins-tuebingen-ai-center @unituebingen.bsky.social @mwk-bw.bsky.social @ml4science.bsky.social

Meet @elinguyen.bsky.social‬, our Winter 2025 Research Intern who traveled all the way from Germany to explore new research perspectives! Inspired to start your own journey? Applications for Vector's Winter 2026 Research Internships are open! Apply now: vectorinstitute.ai/programs/res...

👩‍🏫 Heute startet die Themenrunde "KI und Bildung" bei #ImaScientist @w-i-d.de - wir wünschen allen beteiligten Forschenden und Schulklassen interessante Gespräche, einen schönen Austausch und sind schon gespannt, welche:r der Forschenden das Rennen als Lieblingswissenschaftler:in macht! 👩‍🔬👩‍🎓

Für die kommende Themenrunde von I’m a Scientist suchen wir Wissenschaftler*innen, die zum Einfluss von KI auf den Bildungsbereich forschen. Die Live-Chats mit Schüler*innen finden vom 19. bis 23. Mai statt. Bis zum 27. April bewerben: imascientist.de/bewerbungsfo... #Wisskomm

Fantastic initiative by @serge.belongie.com and Søren Hauberg 🇪🇺🇩🇰 Please take a moment to answer through the poll below and share in your networks! 👇

Appropriate reliance is key to safe and successful user interactions with LLMs. But what shapes user reliance on LLMs, and how can we foster appropriate reliance? In our #CHI2025 paper, we explore these questions through two user studies. 1/7

I've recently put together a "Fairness FAQ": tinyurl.com/fairness-faq. If you work in non-fairness ML and you've heard about fairness, perhaps you've wondered things like what the best definitions of fairness are, and whether we can train algorithms that optimize for it.

Happy #InternationalWomensDay! As we celebrate the achievements of women everywhere today, a special shoutout to all women in science from us - from the trailblazers & changemakers to today’s innovators shaping the future. Thank you for your curiosity, courage & for redefining what’s possible! 🤗🔬💜

I will be giving a talk at the MPI-IS @maxplanckcampus.bsky.social in Tübingen next week (March 12 @ 11am). The talk will cover my group's overall approach to trust in ML, with a focus on our work on unlearning and how to obtain verifiable guarantees of trust. Details: is.mpg.de/events/speci...

We’re happy to announce our fantastic speakers for the 3rd TWiML Workshop!✨ Prof. Dr. Anna Levina, Apl. Prof. Dr. Britta Dorn, and Dr. @nnludwig.bsky.social who will be sharing their amazing research with us.

We look forward to the next #TWiML workshop in Tübingen - you can already register! #womeninscience #womeninstem #machinelearning

@acm-cscw.bsky.social With the only deadline for CSCW'26 in May, do you have an estimate of when reviews can be expected and how long a possible revision timeline is? Thank you! :)

We created a new channel with daily new vision and graphics papers trending (liked/read) on www.scholar-inbox.com. This is the bsky equivalent of AK on X! Follow now, and never miss a beat again: bsky.app/profile/si-c...

Save the date for the 3rd TWIML Workshop on March 14:

Our new piece in Nature Machine Intelligence: LLMs are replacing human participants, but can they simulate diverse respondents? Surveys use representative sampling for a reason, and our work shows how LLM training prevents accurate simulation of different human identities.

📣 Job Alert: Join Tübingen AI Center as a Scientific Project Coordinator for OpenEuroLLM - support building a series of open-source foundation models for transparent AI in Europe! https://buff.ly/4gwCt45

🚨Great Models Think Alike and this Undermines AI Oversight🚨 New paper quantifies LM similarity (1) LLM-as-a-judge favor more similar models🤥 (2) Complementary knowledge benefits Weak-to-Strong Generalization☯️ (3) More capable models have more correlated failures 📈🙀 🧵👇

🤔 Interested in how #HCI thinks about using #LLMs, or looking to understand best practices for human-LLM interaction? 🚨🚨New paper: Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review 🧵

🔎 Wonder how to prove an LLM was trained on a specific text? The camera ready of our Findings of #NAACL 2025 paper is available! 📌 TLDR: longs texts are needed to gather enough evidence to determine whether specific data points were included in training of LLMs: arxiv.org/abs/2411.00154

The CHI Human-Centered Explainable AI Workshop is back! Paper submissions: Feb 20 hcxai.jimdosite.com

Connect with XAI/IML researchers and enthusiasts from around the world. Discuss interpretability methods, get help on challenging problems, and meet experts in your field! DM to join 🥳

Rejected at #ICLR2025: Scalable Ensemble Diversification for OOD Generalisation and Detection - Current approach: Ensemble diversification relies on a separate source of OOD samples for training models to diversify outputs. - Ours: Use samples from the training set itself to diversify ensembles.

Finally accepted! #ICLR2025 Do Deep Neural Network Solutions Form a Star Domain? - Known: as DNN width --> infty, solutions become convex modulo permutations of neurons. - What's new: as DNN width --> infty, solutions **first form a star domain** and then a convex domain modulo permutations.

Another #ICLR2025 paper: Intermediate Layer Classifiers for OOD generalization - Common approach: Use penultimate-layer features of pre-trained models for downstream tasks. - Our recommendation: Explore lower-layer features. You'll likely find better layers for OOD generalisation.

We'd love to hear your feedback if you attended the ATTRIB workshop at @neuripsconf.bsky.social 2024! Please consider taking 2-3 min to fill out this anonymous form: forms.gle/JzGebsx9haD5... Thank you!🙏

Next up, @sanmikoyejo.bsky.social on predicting downstream properties of language models!

Our first talk of the day @ ATTRIB 2024 (Rm 205-207): @surbhigoel.bsky.social on attributing model behavior using synthetic data!

Happening now!

On my way to Vancouver for @neuripsconf.bsky.social and the ATTRIB workshop on 14th! Feel free to drop by ✨ If you're also interested in data attribution or human-centered XAI, let me know and I'd be happy to meet :)

Here's a fledgling starter pack for the AI community in Tübingen. Let me know if you'd like to be added! go.bsky.app/NFbVzrA

“Explainable to whom?” is the elephant in the room for every Explainable AI (XAI) system. Turns out, your AI background defines how you see explanations--and it's risker than you think. Our #CHI2024 paper on "The Who in XAI" explains why & how. Findings at a glance ⤵️ #academicSky 🧵1/n