🎉 Applications are open for MLSS 2026 — the 50th edition of the Machine Learning Summer School! Join us in Tübingen for world-class lectures, hands-on sessions, and an amazing ML community. 🧠 Apply now 👉 mlss2026.is.tuebingen.mpg.de #MLSS2026 #MachineLearning #SummerSchool #ML

New paper: Back into Plato’s Cave Are vision and language models converging to the same representation of reality? The Platonic Representation Hypothesis says yes. BUT we find the evidence for this is more fragile than it looks. Project page: akoepke.github.io/cave_umwelten/ 1/9

🔍 What happens when you give middle-schoolers unrestricted access to ChatGPT for science tasks? Findings from our new paper led by Rania Abdelghani w/ @koumurayama.bsky.social @celestekidd.bsky.social Hélène Sauzéon 🧵👇

#GirlsDay 2026 Join us at BIFOLD / @tuberlin.bsky.social Three hands-on stations await you in the world of data science & IT security. Register here 👉 t1p.de/2wwys #WomenInTech #WomenInSTEM #ComputerScience #cs

Congrats to @upolehsan.bsky.social and team. Their CHI'26 paper won an Honorable Mention award! "From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction" (arxiv.org/abs/2601.21920) dives into the AI-as-Amplifier paradox, explained in comic form.

How can agents learn in long, open-ended tasks where success is rare and rewards are sparse? 👀 🚨 Enter ∆Belief-RL: We show how to use agent’s own belief updates as a dense reward for turn-level credit assignment. The result? Surprisingly strong generalization. (1/8) 🧵⬇️

New paper out!🎉 One of our most surprising findings: fine-tuning an LLM on debugging code has unexpected side-effects on contextual privacy. The model learns from printing variables that internal state are ok to share, then generalises this to social situations🤯 A🧵below👇

The 6th Workshop on Human-Centered Explainable AI is happening at CHI 2026 in Barcelona. It's been a great research community. You should submit a paper. Deadline is February 19th. This year's theme is agentic AI, but all human-centered XAI topics are welcome.

Scholar Inbox in conference mode is soooo useful. Get your poster session recommendations with the poster number and access the paper.... Thanks @andreasgeiger.bsky.social and team!

Finally got the job ad—looking for 2 PhD students to start spring next year: www.gao-unit.com/join-us/ If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply! I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮

Excited to be at #Neurips2025 this week to present our paper "Monoculture or Multiplicity: Which is it?", joint work with Moritz Hardt. 📄 Paper #1000: openreview.net/pdf?id=DO5Lt... 📍 Wed, Dec 3, 2025 • 4:30 PM – 7:30 PM Feel free to come by and reach out! A short 🧵.

At #NeurIPS in San Diego this week? Interested in XAI, causality, or performative prediction? Come visit our poster! 💬 Performative Validity of Recourse Explanations 📆 Wednesday, 4.30 pm, Poster Session 2 w/ Hidde Fokkema, Timo Freiesleben, Celestine Mendler-Dünner, Ulrike von Luxburg

🚨 New paper at #NeurIPS2025! A systematic fixation-level comparison of a performance-optimized DNN scanpath model and a mechanistic cognitive model reveals behaviourally relevant mechanisms that can be added to the mechanistic model to substantially improve performance. 🧵👇

We are looking for several postdoctoral researchers to join our Norms & Practices Lab! This is an exciting opportunity for scholars of #philosophy, #law, #culturalanthropology, and (qualitative) #socialscience: uni-tuebingen.de/en/128980#c2... 1/2

Tübingen Conference for AI and Law starting on wednesday! Keynotes by Rediet Abebe, Solon Borocas, Sylvie Delacroix, Lilian Edwards, Christoph Engel, Michal Gal, Philipp Hacker, Christoph Kern, Christoph Sorge. ailawinstitute.de/conference-f...

Super happy to be recognised as a top reviewer for this year's NeurIPS :) Thanks @neuripsconf.bsky.social for the free ticket and see you in San Diego in Dec!

Hamburg just said YES in the climate referendum! ♥️ Thanks to everyone who fought for it. This vote matters for Hamburg – and sends a strong signal far beyond. The climate issue is alive: we can set the agenda and win! Another lesson: climate action must go hand in hand with social justice.

🚨 Workshop on the Theory of Explainable Machine Learning Call for ≤2 page extended abstract submissions by October 15 now open! 📍 Ellis UnConference in Copenhagen 📅 Dec. 2 🔗 More info: sites.google.com/view/theory-... @gunnark.bsky.social @ulrikeluxburg.bsky.social @emmanuelesposito.bsky.social

📣 New Preprint! Have you ever wondered what the political content in LLM's training data is? What are the political opinions expressed? What is the proportion of left- vs right-leaning documents in the pre- and post-training data? Do they correlate with the political biases reflected in models?

We have a new paper out today, and I’m so proud of it and the work that went into creating it! Link here: arxiv.org/pdf/2509.184.... The 2024 US presidential election was the first major election in the US since the popularization of LLMs. (1/6)

I've been waiting some years to make this joke and now it’s real: I conned somebody into giving me a faculty job! I’m starting as a W1 Tenure-Track Professor at Goethe University Frankfurt in a week (lol), in the Faculty of CS and Math and I'm recruiting PhD students 🤗

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.