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
- Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives
- Authors
- Meredith Ringel Morris and Jed R. Brubaker
- Venue
- ACM CHI 2025
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- Date
- Title
- Scaling Pre-training to One Hundred Billion Data for Vision Language Models
- Authors
- Xiao Wang, Ibrahim Alabdulmohsin, Daniel Salz, Zhe Li, Keran Rong, Xiaohua Zhai*
- Venue
- arXiv
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- Date
- Title
- Decoding-based Regression
- Authors
- Xingyou Song, Dara Bahri
- Venue
- arXiv
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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
- MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
- Authors
- Sebastian Farquhar, Vikrant Varma, David Lindner, David Elson, Caleb Biddulph, Ian Goodfellow, Rohin Shah
- Venue
- arXiv
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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
- 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
- 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
- Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty
- Authors
- Zi Wang, Meera Hahn, Wenjun Zeng, Nithish Kannen, Been Kim, Rich Galt, Kartikeya Badola
- Venue
- arXiv
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 Engineer, Sky
Research
New York City, New York, US
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Research Scientist, Generative Media
Research
London, UK
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Research Scientist, Generative Models - Tokyo
Research
Tokyo, Japan
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Research Scientist, Large Scale Pre-training Model
Research
London, UK
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Research Scientist, Media Fusion
Research
Mountain View, California, US