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Gergely, Anita

  1. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Gemini Team, Petko Georgiev +2277 · 4 voices · 690 citations
    Computer Science · #Semantic Web and Ontologies
  2. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1393 citations
    #cs.CL #cs.AI
  3. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Gemini Robotics Team, Gemini Team, Rohan Anil +2692 · 9 voices · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.AI #cs.CL #cs.CV
  4. RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
    2021/11/04 by Sabela Ramos, Sertan Girgin, Ramos, Sabela +21 · 11 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Scientific Computing and Data Management #Data Stream Mining Techniques
  5. AndroidEnv: A Reinforcement Learning Platform for Android
    2021/05/27 by Toyama, Daniel, Hamel, Philippe, Gergely, Anita +6 · 8 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization
    2022/05/24 by Aishwarya Agrawal, Ivana Kajić, Agrawal, Aishwarya +11 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  7. Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning
    2022/04/21 by Comanici, Gheorghe, Glaese, Amelia, Gergely, Anita +5 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)