🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🚀Introducing ChipAgents: the World's First AI Agent for Chip Design and Verification. Get ready to supercharge your workflow and accelerate your time-to-market! 💻⚡

If you're looking for an MSc or PhD position, I highly recommend applying to David's lab! David is an amazing, humble, and kind researcher and Mila is a great research environment.

Some exciting news from SUMEval-2. Consider submitting your work on multilingual and multicultural NLP. We are accepting both unpublished (for archival) and previously published (for non-archival) work. #NLProc

Introducing ✨Aya Expanse ✨ – an open-weights state-of-art family of models to help close the language gap with AI. Aya Expanse is both global and local. Driven by a multi-year commitment to multilingual research. cohere.com/research/aya

✨ New Evaluation Benchmark for Reward Models - We Go Multilingual! ✨ Introducing M-RewardBench: A massively multilingual RM evaluation benchmark covering 23 typologically different languages across 5 tasks. Paper, code, dataset: m-rewardbench.github.io Our contributions: 1/9

Reward models are crucial for aligning models to human preferences but so far their evaluation has been limited to English. I was fortunate to be involved with this Cohere For AI project, which introduces a new multilingual RM benchmark and many insightful analyses.

On that note, someone organizing a workshop at ACL 2025 (ACL 2025) wants to switch with our NAACL 2025 slot? (I guess it's a thing now)

Super excited to share 🧠MLGym 🦾 – the first Gym environment for AI Research Agents 🤖🔬 We introduce MLGym and MLGym-Bench, a new framework and benchmark for evaluating and developing LLM agents on AI research tasks. The key contributions of our work are: 🕹️ Enables the

I'm super excited about these new models and what's still to come, in English and many more languages! 🌍

Sparse attention is one of the most promising strategies to unlock long-context processing and long generation reasoning in LLMs. We performed the most comprehensive study on training-free sparse attention to date. Here is what we found:

The Sparse Frontier Sparse Attention Trade-offs in Transformer LLMs

We built sparse-frontier — a clean abstraction that lets you focus on your custom sparse attention implementation while automatically inheriting vLLM’s optimizations and model support. As a PhD student, I've learned that sometimes the bottleneck in research isn't ideas — it's

I had lunch with Sebastian Ruder in Berlin a few days ago. Had delicious food and a wonderful, generative conversation about how people are building with AI today, the future of LLMs++, the ins and outs of post-training, what the future of an agentic world could look like, and much

The Multilingual Team at cohere is hiring! If this sounds like you, please apply: - strong coding skills and a keen eye for detail - experience working with the challenges & joys of multilingual data Help us bring AI to the world! 🌏🌍🌎 jobs.ashbyhq.com/cohere/a87be94…