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Doshi, Tulsee

  1. 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 · 1362 citations
    #cs.CL #cs.AI
  2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Petko Georgiev, Gemini Team +2277 · 4 voices · 553 citations
    Computer Science · #Semantic Web and Ontologies
  3. LaMDA: Language Models for Dialog Applications
    2022/01/20 by Romal Thoppilan, Thoppilan, Romal, Daniel De Freitas +117 · 2 voices · 47 citations
    #cs.CL #cs.AI
  4. Gemma 2: Improving Open Language Models at a Practical Size
    2024/07/31 by Gemma Team, Morgane Rivière, Shreya Pathak +292 · 310 citations
    Computer Science · #Natural Language Processing Techniques
  5. Fairness in Recommendation Ranking through Pairwise Comparisons
    2019/03/02 by Beutel, Alex, Chen, Jilin, Doshi, Tulsee +8 · 8 citations
    #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Gemini Team, Rohan Anil, Anil, Rohan +2682 · 9 voices
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CL #cs.CV
  7. Imagen 3
    2024/08/13 by Imagen-Team-Google, Jason Baldridge, : +526 · 1 voice · 3 citations
    Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging #cs.CV
  8. Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
    2019/01/14 by Beutel, Alex, Chen, Jilin, Doshi, Tulsee +6 · 4 citations
    #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)