Research
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Research
Google DeepMind at NeurIPS 2024
Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future
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Research
Genie 2: A large-scale foundation world model
Generating unlimited diverse training environments for future general agents
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Research
AlphaQubit tackles one of quantum computing’s biggest challenges
Our new AI system accurately identifies errors inside quantum computers, helping to make this new technology more reliable.
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- Date
- Title
- Are vision-language models shape or texture biased and can we steer them?
- Authors
- Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
- Venue
- ICLR 2025
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- Date
- Title
- Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web
- Authors
- Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur
- Venue
- Transactions on Machine Learning Research (TMLR)
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- Date
- Title
- Deliberation in Latent Space via Differentiable Cache Augmentation
- Authors
- Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, Jun Xie, Arthur Szlam
- Venue
- arXiv
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- Date
- Title
- What type of inference is planning?
- Authors
- Miguel Lazaro-Gredilla, Li Yang Ku, Kevin Murphy, Dileep George
- Venue
- NeurIPS 2024
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- Date
- Title
- Machine Unlearning Doesn’t Do What You Think: Lessons for Generative AI Policy, Research, and Practice
- Authors
- A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Ziyu Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark Lemley, danah boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna Wallach, Nicolas Papernot, Katherine Lee
- Venue
- arXiv
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- Date
- Title
- Mastering Board Games by External and Internal Planning with Language Models
- Authors
- John Schultz, Jakub Adamek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada Lewis, Anian Ruoss, Tom Zahavy, Petar Veličković, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomašev
- Venue
- arXiv
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- Date
- Title
- How Well Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?
- Authors
- Sohee Yang, Nora Kassner, Elena Gribovskaya, Sebastian Riedel, Mor Geva
- Venue
- arXiv
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- Date
- Title
- Understanding LLM Embeddings for Regression
- Authors
- Eric Tang, Bangding Yang, Xingyou Song
- Venue
- arXiv
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- Date
- Title
- AI can help humans find common ground in democratic deliberation
- Authors
- Michael Henry Tessler†, Michiel A Bakker†, Daniel Jarrett, Hannah Sheahan*, Martin Chadwick, Raphael Koster, Georgina Evans, Lucy Campbell-Gillingham, Teddy Collins*, David C Parkes*, Matthew Botvinick, Christopher Summerfield*
- Venue
- Science
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- Date
- Title
- Prompting Considered Harmful
- Authors
- Meredith Ringel Morris
- Venue
- Communications of the ACM
Breakthroughs
Explore some of the biggest innovations in AI, many of which underpin the modern AI industry.
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Genie 2
Generating unlimited diverse training environments for future general agents
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GenCast
Predicts weather and the risks of extreme conditions with state-of-the-art accuracy
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AlphaQubit
Our new AI system accurately identifies errors inside quantum computers, helping to make this new technology more reliable.
Open Research roles
Join our team to work at the frontier of AI research, shaping the future of AI-powered products and scientific discovery.
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Research Scientist, Reasoning
Research
Mountain View, California, US
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Research Scientist, World Modeling
Research
Mountain View, California, US
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Research Scientist, Zurich
Research
Zurich, Switzerland
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Research Scientist, Generative Models - Tokyo
Research
Tokyo, Japan
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Research Scientist, Multimodal Assistive Agents (Astra) - Tokyo
Research
Tokyo, Japan