Don't miss our ML Industry's event on December 3rd as they welcome Gaurav Gaonkar who will share his journey from cognitive science and CV research at Brown University to building applied ML systems in industry and insights on navigating ML careers. Thanks to Prahitha Movva @NeurIPS2025 for

Reviving my open (group) office hours! Feel free to drop by and chat about anything (e.g., CV/ML research, career, grad school). calendly.com/jbhuang0604/op…

ICLR has placed OpenReview in a difficult position, so I want to offer a few words about the OpenReview team working behind the scenes. OpenReview has long been operated at UMass Amherst as a non-profit organization founded by Andrew McCallum. Each year, Andrew must raise more

Also, please share 🤓: I'll be at NeurIPS Dec 4-8. I am hiring PhD students and postdocs this year to start at Harvard University Kempner Institute at Harvard University. We work across problems in ML, applied math, probability, and biology, with the goal of all learning from each other. Find me at NeurIPS Conference, DM

🚨 #NeurIPS I’m on the industry job market for research scientist roles! Currently: 🎓Final-year CS PhD University of Washington+ 💼 Visiting Researcher Meta FAIR Research interests: model self-improvement, multimodal AI, alignment & human-centered NLP At #NeurIPS all week — let’s chat! DMs

In 2025, our Open Science Community Leads showed what’s possible when AI research is built in the open. 38 leads, 17 programs, 125 guest speakers advancing open, collaborative AI across the world (find all talks here! cohere.link/uw1lvQQ). 🤯

Mayank Bhaskar Surya Guthikonda Nahid Alam Muhammad Rafi Sudrajat Andrej Jovanović Kanwal Mehreen Manasvi dawane Cole Harrison Leema Krishna Murali Oumayma Essarhi Benedict Emoe-kabu Abrar Rahman - d/acc Bronson Siddhant Gupta Kabir Vivek Silimkhan Esra'a Saleh Rafay neel Arya Suneesh Prahitha Movva @NeurIPS2025 Ujan Anas Zafar Ram Kadiyala Ahmad Mustafa Anis harsha Akanksha @eclecticruchira @tolu_aa va4az Alif Munim (d/acc) Gusti T. Winata Rahul If you believe science works best when it’s open, collaborative, and community-driven, this is your invitation. Explore the programs, join the work, and help build what comes next: labscommunity.cohere.com/community-lead…

Submitted my PhD applications a few days ago and wanted to share some thoughts on the process. I wasn’t sure I was ready, but I’m really glad I applied anyway! The process itself taught me so much - particularly around writing and structuring ideas clearly. Writing my SOP and

Exciting Career opportunities for new grads: Mistral AI 's Future AI Global Leaders Program, a one-year program for 30 recent graduates and PhDs who want to bridge the gap between research, engineering and real-world impact. This is a unique opportunity to collaborate closely

Our community-led ML Industry group is excited to host Aditri Bhagirath for insightful presentation that introduces SynthesizeMe, a method for inferring implicit user personas from interaction behavior to enable LLM personalization without explicit identity labels or predefined

Come join the Reinforcement Learning Mini Conference Wed 14th 9:05-12PM PST at GPU MODE! You'll learn about: 1. PPO, GRPO, RLVR & RL maths 2. RL Agents & Environments with OpenEnv 3. Tips & tricks for RL 4. RL for GPU kernels Six speakers from PyTorch Hugging Face Unsloth AI!

Internship opportunity! Please share! 📣 I'm looking to hire an intern in human-centered NLP for the agents team Together AI. Come work on frontier AI systems that tackle complex agentic tasks! Research direction is open and looking to publish in NLP and HCI venues

Our ML Industry group is looking forward to hosting Ahsaas Bajaj, Senior ML Engineer at Instacart for a presentation on "Production-Grade ML in Practice: Evaluation and Design Frameworks for Recommendation Systems Serving Millions." Thanks Prahitha Movva @NeurIPS2025 and Arya Suneesh to organizing

Be sure to join us tomorrow, January 30th for a presentation from Ahsaas Bajaj, for a deep dive into "Production-Grade ML in Practice: Evaluation and Design Frameworks for Recommendation Systems Serving Millions." Learn more: cohere.com/events/cohere-…

I'm looking for students/folks interested in leading a project on privacy-preserving mental health chatbot research, focusing on differentially private pattern extraction and synthetic data generation for AI safety. If you are interested or know someone who would be a good fit,

Here is a sharing of career & survival resources that really helped me navigate the research career in #NLProc and #AI: github.com/zhijing-jin/nl… Huge thanks to the researchers & profs who wrote such thoughtful guides for our community 🙏 PRs are very welcome to keep it growing🌱

Out Reinforcement Learning group is excited to welcome Mansi Maheshwari for a session focused on "Addressing the Plasticity-Stability Dilemma in Reinforcement Learning" next week on Monday, March 16th! Thanks to Rahul and Gusti T. Winata for organizing this session 👏

Semantic duplicates are invisible to small models but can be catastrophic for large ones. We show that this breaks standard scaling laws and measure the effective data pool size to fix them. If you're training at scale on synthetic data, you should read this!

Our paper on using LLMs to support people learning mental health counseling skills received an Honorable Mention at CHI 2026! arxiv.org/abs/2505.02428 Lead by Ryan Louie (who's on the market!), w/Diyi Yang, Raj Shah, Ifdita Hasan Orney, & Juan Pablo Pacheco

Check out Manya's benchmark for LLM creativity! Inspired by work on creativity in graphs (Aditi Raghunathan's "roll the dice" paper), CREATE isolates testing of creative insights for discovery. Future: understand how LLMs derive insights & how they can be better creative partners!