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🚀 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.
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
Pierre Colombo retweeted
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! 🚀
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…
Pierre Colombo retweeted
Replying to @GoogleDeepMind @beirmug
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
Pierre Colombo retweeted
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
Pierre Colombo retweeted
Replying to @tomaarsen @GoogleDeepMind
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
They're presenting BidirLM at @COLM_conf ! You should go find them and say hi.
📄 arxiv.org/abs/2604.02045
🤗 huggingface.co/BidirLM
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!
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)
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!
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)
Pierre Colombo retweeted
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
Pierre Colombo retweeted
Gemini Embedding 2 is out, and it's completely omnimodal 😎
Great to see the next chapter of encoders heading toward text, audio, and visual unlocking so many use cases
arxiv.org/abs/2605.27295
Pierre Colombo retweeted
👏 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 ⤵️
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…




















