Antoine Bosselut

🎉 Congratulations to Assistant Professors @abosselut.bsky.social (IC), @bunnech.bsky.social (IC & SV), and @mschrimpf.bsky.social (IC & SV) for being selected as #AI2050 Early Career Fellows by @schmidtsciences.bsky.social !

🔗 Full article: actu.epfl.ch/news/epfl-pr...

Recruiting PhDs & postdocs for:

🤖 agents "taking over" science (hypogenic.ai and 📌)
🧪 Real scientists ➡️AI (e.g., materials, chem, physics)
📜 Theory + incentives for H-AI collab & credit (e.g., formalizing tacit knowledge)

new adventures for me, 🔄 if you can! 🙌

chenhaot.com/recruiting.h...

EPFL AI Center and Swiss AI Initiative Postdoctoral Fellowships The 2nd call is now open with a deadline for submissions of 3 November (17.00 CET)!Applications are encouraged from researchers at the postdoctoral level with a keen interest in collaborative, interdi...

EPFL AI Center Postdocs: www.epfl.ch/research/fun...

NLP Lab Postdoc: docs.google.com/document/d/1...

If you're interested in doing a postdoc at @icepfl.bsky.social , there's still time to apply for the @epfl-ai-center.bsky.social postdoctoral fellowships.

Apart from this, I'm also recruiting postdocs in developing novel training algorithms for reasoning models and agentic AI.

Join us again at #MELT workshop (520D) at #COLM2025 to hear from @ImanolSchlag about #Apertus, the largest multilingual LLM trained on over 1000 languages.

Kicking off #MELT workshop at #COLM2025 with Monojit Choudhury talking about "Meta-Cultural Competence: What LLMs Should Know About Culture to Serve the Next Billion Users" !

Come join us in 520D (all the way down the hall and around the corner) at #COLM2025 for the first workshop on multilingual and equitable language technologies!

Very happy this paper got accepted to NeurIPS 2025 as a Spotlight! 😁

Main takeaway: In mechanistic interpretability, we need assumptions about how DNNs encode concepts in their representations (eg, the linear representation hypothesis). Without them, we can claim any DNN implements any algorithm!

What's the right unit of analysis for understanding LLM internals? We explore in our mech interp survey (a major update from our 2024 ms).

We’ve added more recent work and more immediately actionable directions for future work. Now published in Computational Linguistics!

I don't see why the answer would be no but since you specifically say "October", what if we submitted to ARR in July and want to do early submission to ACL 2026 ?

1/🚨 New preprint

How do #LLMs’ inner features change as they train? Using #crosscoders + a new causal metric, we map when features appear, strengthen, or fade across checkpoints—opening a new lens on training dynamics beyond loss curves & benchmarks.

#interpretability

💡Can we optimize LLMs to be more creative?
Introducing Creative Preference Optimization (CrPO) and MuCE (Multi-task Creativity Evaluation Dataset).
Result: More novel, diverse, surprising text—without losing quality!
📝 Appearing at #EMNLP2025

Special thanks to everyone that participated in this journey!

swiss-ai (Swiss AI Initiative) Org profile for Swiss AI Initiative on Hugging Face, the AI community building the future.

(5) Transparency: We're fully open, pairing our weights with a full suite of reproduction artifacts.

Check out our artifacts and technical report here: huggingface.co/swiss-ai

(4) Multilinguality: We pretrain the model on 15T tokens from 1811 languages, and post-train with 3.8 M examples from 149 languages

(3) Memorization Prevention: Adopting the Goldfish objective, we suppress verbatim recall and reduce risks of memorization

(2) Data Compliance: we pretrained exclusively on openly available data, retroactively respecting robots.txt exclusions and filtering for copyrighted, non-permissive, toxic, and personally identifiable content

What makes Apertus special?
(1) Scale: Apertus-70B is the first fully open model to be trained at 70B parameter scale on 15T tokens, requiring us to scale out training to 4096 GPUs at
@cscsch.bsky.social

The next generation of open LLMs should be inclusive, compliant, and multilingual by design. That’s why we @icepfl.bsky.social @ethz.ch @cscsch.bsky.social ) built Apertus.

Apertus: a fully open, transparent, multilingual language model - EPFL AI Center EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model — a milestone in generative AI for trans...

EPFL, @ethz.ch and the @cscsch.bsky.social released Apertus today, Switzerland’s first large-scale, open, multilingual language model — a milestone in generative AI for transparency and diversity.

Find out more here: ai.epfl.ch/apertus-a-fu...

@abosselut.bsky.social @icepfl.bsky.social

EPFL, ETH Zurich & CSCS just released Apertus, Switzerland’s first fully open-source large language model.
Trained on 15T tokens in 1,000+ languages, it’s built for transparency, responsibility & the public good.

Read more: actu.epfl.ch/news/apertus...

Very happy to see that Pleias multilingual data processing pipelines have contributed to the largest open pretraining project in Europe.

From their tech report: huggingface.co/swiss-ai/Ape...

Apertus: ein neues Sprachmodell für die Schweiz

Die Schweiz steigt ins Rennen der grossen Sprachmodelle ein. Unter dem Namen #Apertus veröffentlichen @ethz.ch, @icepfl.bsky.social und das @cscsch.bsky.social das erste vollständig offene, mehrsprachige #LLM des Landes.

Fürs MAZ habe ich Apertus kurz analysiert:

www.maz.ch/news/apertus...

Thank you for your incredible work!

recently gave a talk on <Reality Checks> at two venues, and discussed (and rambled) about how leaderboard chasing is awesome (and we want it to continue) but that this isn't easy because everyone (me! me! me!) wants to write more papers.

the link to the slide deck in the reply.

🚨New Preprint!

In multilingual models, the same meaning can take far more tokens in some languages, penalizing users of underrepresented languages with worse performance and higher API costs. Our Parity-aware BPE algorithm is a step toward addressing this issue: 🧵

EPFL NLP Postdoctoral Scholar Posting - Swiss AI LLMs The EPFL Natural Language Processing (NLP) lab is looking to hire a postdoctoral researcher candidate in the area of multilingual LLM design, training, and evaluation. This postdoctoral position is as...

The EPFL NLP lab is looking to hire a postdoctoral researcher on the topic of designing, training, and evaluating multilingual LLMs:

docs.google.com/document/d/1...

Come join our dynamic group in beautiful Lausanne!

Kaiserslautern, Germany

📣 Life update: Thrilled to announce that I’ll be starting as faculty at the Max Planck Institute for Software Systems this Fall!

I’ll be recruiting PhD students in the upcoming cycle, as well as research interns throughout the year: lasharavichander.github.io/contact.html

A language model built for the public good     - EPFL AI Center ETH Zurich and EPFL will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM ma...

EPFL and ETH Zürich are building together a Swiss made LLM from scratch.
Fully open and multilingual, the model is trained on CSCS's supercomputer "Alps" and supports sovereign, transparent, and responsible AI in Switzerland and beyond.
Read more here: ai.epfl.ch/a-language-m...
#ResponsibleAI

Check out Silin's paper done in collaboration with Apple on reinforcing abstract thinking in reasoning traces!