Omni-modal AI researcher. Creator of ColPali, BidirLM-omi, EuroBERT & EuroLLM. Ex-Prof@ Centrale (Paris-Saclay) · Ex-CSO@ https://xitter.cf/t.co/ncQ9gT2rpk (legaltech - SaulLM)

Joined October 2020
🚀 Introducing SaulLM-141B and SaulLM-54B: The First Open Family of Legal Models. After #SaulLM-7B the family is growing! We are proud to unveil the latest innovations from our team: the SaulLM-141B and 54B generative AI models, specifically designed for the legal domain.
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Pierre Colombo retweeted
Should you waste tokens having your coding agent use grep, or hand the search to a tiny local model? We release ColGrep-Agent-2B! A code-search agent that runs locally, searches with ColGrep, reads files, & returns locations + code to your main agent -> 34% fewer API tokens
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BidirLM-Omni is live right now at COLM poster #28! Looking for an open source encoder training method that sits right on the Pareto frontier alongside @googlegemma recent omnimodal embedding? Come talk to us! 🚀
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Pierre Colombo retweeted
The one and only Michael Jordan was interviewed last week by the French newspaper Libération. Here is an English translation. Enjoy! di.ens.fr/~fbach/MJordan_ITW…
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Congrats on the release! 👀 Happy to see our BidirLM-Omni-2.5B sitting on the Pareto frontier of your MAEB chart 🎧 Presenting it at #COLM2026 tomorrow if anyone wants to discuss multimodal encoders
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Replying to @osanseviero
Congrats on the release! 👀 Happy to see our BidirLM-Omni-2.5B sitting on the Pareto frontier of your MAEB chart 🎧 Presenting it at #COLM2026 tomorrow if anyone wants to discuss multimodal encoders
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Happy to still see our BidirLM-Omni-2.5B sitting on the Pareto frontier of the MAEB chart 🎧 Presenting it at #COLM2026 tomorrow if anyone wants to discuss multimodal encoders
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Huge congrats to @N1colAIs @theodb_ml and @gisship 🎉 @GoogleDeepMind just released EmbeddingGemma 2, and the @googlegemm launch blog benchmarks against BidirLM-Omni-2.5B on the Massive Audio Embedding Benchmark. Our model sits right on the Pareto frontier!
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I'm at #COLM2026 in San Francisco this week 🌉 I will be presenting BidirLM-Omni (/w @N1colAIs) open-source recipe that turns causal decoder LLMs (like Gemma 3 and Qwen3) into strong bidirectional encoders for text, image and audio
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Pierre Colombo retweeted
🔥 Accelerate your diffusion LMs with Distribution Matching Distillation Introducing two methods for continuous diffusion LMs with gains at complementary sampling budgets: 🔺 Simplex-DMD at very few-step budgets 🎲 Reinforce-DMD at larger budgets 🔺 At 4 NFEs Simplex-DMD halves the strongest baseline’s generative perplexity at matched entropy (1/n)
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Pierre Colombo retweeted
I joined Google DeepMind last week to work on (hopefully) improving the Gemini models! The past few years have been incredibly fun and rewarding - working on great projects with amazing people whom I'll never thank enough. Excited to discover what lies ahead!
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Pierre Colombo retweeted
We’re thrilled to share that research from Cohere Labs and @Cohere will be presented at ICML this week! 🥳 📄ModernVBERT: Towards Smaller Visual Document Retrievers. Congrats to authors Paul Teiletche Quentin Mace, Max Conti, Antonio Loison, Gautier Viaud, @PierreColombo6, Manuel Faysse (arxiv.org/pdf/2510.01149) 🔎Investigating continual pretraining in large language models: Insights and implications. Congrats to authors Çağatay Yıldız, Nishaanth Kanna Ravichandran, Nitin Sharma, Matthias Bethge, @beyzaermis (openreview.net/pdf?id=aKjJoE…) ⌚EAGER: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling. Congrats to authors @daniel_sc4, Leonidas Zotos, Elisabetta Fersini, and Malvina Nissim, @ahmetustun89 (arxiv.org/abs/2510.11170) 📈When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation. Congrats to all 35+ authors including Cohere's @YiyangNan (arxiv.org/abs/2602.16763)
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Awesome to see them build on the same tricks as BidirLM-Omni, like the decoder-to-encoder adaptation and cross-modality model merging. The synthetic data ablation is also a huge highlight with a +15 gain for code retrieval domains
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👏 Congratulations to @cohere on Command A+ — a powerful new model optimized for NVIDIA Blackwell and trained using NVIDIA CUDA-X libraries. Proud to be a part of it! Learn more ⤵️
Introducing: Cohere Command A+ We’ve created our most powerful LLM yet, optimized it to run on as little hardware as possible, and released it open-source for all.
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Pierre Colombo retweeted
Releasing open-source under the Apache 2.0 license. We want to give developers direct access to enterprise-grade agentic capabilities from experimentation to production. Sovereign AI. For all. Download Command A+: huggingface.co/CohereLabs/co… Or learn more: cohere.com/blog/command-a-pl…
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Pierre Colombo retweeted
Our first fully open source Apache 2 model :)
Introducing: Cohere Command A+ We’ve created our most powerful LLM yet, optimized it to run on as little hardware as possible, and released it open-source for all.
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