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Shivanna, Rakesh

  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 · 1374 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 · 559 citations
    Computer Science · #Semantic Web and Ontologies
  3. Gemma 3 Technical Report
    2025/03/25 by Gemma Team, Aishwarya Kamath, Kamath, Aishwarya +418 · 3 voices · 470 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL
  4. Understanding and Improving Knowledge Distillation
    2020/02/10 by Tang, Jiaxi, Shivanna, Rakesh, Zhao, Zhe +4 · 8 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Gemini Robotics Team, Rohan Anil, Gemini Team +2692 · 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 #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.AI #cs.CL #cs.CV
  6. Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries
    2024/09/19 by Kiran Vodrahalli, Santiago Ontañón, Vodrahalli, Kiran +45 · 8 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies
  7. On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
    2022/09/12 by Anil, Rohan, Gadanho, Sandra, Huang, Da +9 · 4 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  8. A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
    2024/10/24 by Rawat, Ankit Singh, Sadhanala, Veeranjaneyulu, Rostamizadeh, Afshin +12 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)