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Vieillard, Nino

  1. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1374 citations
    #cs.CL #cs.AI
  2. Gemma 3 Technical Report
    2025/03/25 by Gemma Team, Aishwarya Kamath, Johan Ferret +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
  3. Gemma 2: Improving Open Language Models at a Practical Size
    2024/07/31 by Gemma Team, Morgane Rivière, Shreya Pathak +292 · 311 citations
    Computer Science · #Natural Language Processing Techniques
  4. On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
    2023/06/23 by Rishabh Agarwal, Agarwal, Rishabh, Nino Vieillard +12 · 2 voices · 77 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  5. MedGemma 1.5 Technical Report
    2025/07/07 by Andrew Sellergren, Sellergren, Andrew, Sahar Kazemzadeh +151 · 85 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  6. WARM: On the Benefits of Weight Averaged Reward Models
    2024/01/22 by Ramé, Alexandre, Vieillard, Nino, Hussenot, Léonard +4 · 15 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Gemini Robotics Team, Gemini Team, Rohan Anil +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
  8. Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
    2023/05/31 by Roit, Paul, Ferret, Johan, Shani, Lior +16 · 6 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  9. Acme: A Research Framework for Distributed Reinforcement Learning
    2020/06/01 by Hoffman, Matthew W., Shahriari, Bobak, Aslanides, John +36 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. BOND: Aligning LLMs with Best-of-N Distillation
    2024/07/19 by Pier Giuseppe Sessa, Sessa, Pier Giuseppe, Robert Dadashi +37 · 9 citations
    Engineering · #Advanced Control Systems Optimization
  11. Offline Reinforcement Learning as Anti-Exploration
    2021/06/11 by Shideh Rezaeifar, Robert Dadashi, Rezaeifar, Shideh +10 · 3 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
  12. Munchausen Reinforcement Learning
    2020/07/28 by Vieillard, Nino, Pietquin, Olivier, Geist, Matthieu · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. WARP: On the Benefits of Weight Averaged Rewarded Policies
    2024/06/24 by Alexandre Ramé, Johan Ferret, Ramé, Alexandre +17 · 4 citations
    Health Professions · Medicine · #Obesity and Health Practices #Health Promotion and Cardiovascular Prevention
  14. Offline Reinforcement Learning with Pseudometric Learning
    2021/03/02 by Dadashi, Robert, Rezaeifar, Shideh, Vieillard, Nino +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Loss Functions and Operators Generated by f-Divergences
    2025/01/30 by Vincent Roulet, Tianlin Liu, Roulet, Vincent +7 · 1 voice · 5 citations
    Computer Science · Mathematics · #Approximation Theory and Sequence Spaces #cs.LG #stat.ML
  16. Imitating Language via Scalable Inverse Reinforcement Learning
    2024/09/02 by Markus Wulfmeier, Wulfmeier, Markus, Michael Bloesch +29 · 3 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Modular Robots and Swarm Intelligence
  17. Momentum in Reinforcement Learning
    2019/10/21 by Nino Vieillard, Vieillard, Nino, Bruno Scherrer +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  18. On Connections between Constrained Optimization and Reinforcement Learning
    2019/10/18 by Vieillard, Nino, Pietquin, Olivier, Geist, Matthieu · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  19. Leverage the Average: an Analysis of KL Regularization in RL
    2020/03/31 by Nino Vieillard, Vieillard, Nino, Tadashi Kozuno +9 · 1 citation
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adaptive Dynamic Programming Control
  20. On Teacher Hacking in Language Model Distillation
    2025/02/04 by Daniil Tiapkin, Daniele Calandriello, Tiapkin, Daniil +11 · 2 voices · 1 citation
    #cs.LG #cs.AI #cs.CL #stat.ML