Feryal Behbahani

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 · 1067 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 · 1514 citations
   Computer Science · #cs.CL #cs.AI
3. Genie: Generative Interactive Environments
   2024/02/23 by Jake Bruce, Bruce, Jake, Michael J. Dennis +50 · 11 voices · 215 citations
   Social Sciences · #Digital Games and Media
4. Training Language Models to Self-Correct via Reinforcement Learning
   2024/09/19 by Aviral Kumar, Vincent Zhuang, Kumar, Aviral +36 · 2 voices · 161 citations
   Computer Science · Psychology · #Artificial intelligence #Computer science #Natural Language Processing Techniques #Natural language processing #Psychology #Reinforcement #Reinforcement learning #Social psychology #Speech and dialogue systems #Topic Modeling #Training (meteorology)
5. Many-Shot In-Context Learning
   2024/04/17 by Rishabh Agarwal, Avi Singh, Agarwal, Rishabh +29 · 1 voice · 67 citations
   Computer Science · Engineering · #Archaeology #Computer science #Context (archaeology) #Domain Adaptation and Few-Shot Learning #Engineering #History #One shot #Shot (pellet) #cs.AI #cs.CL #cs.LG
6. Open-Endedness is Essential for Artificial Superhuman Intelligence
   2024/06/06 by Edward Hughes, Michael Dennis, Michael J. Dennis +15 · 6 voices · 33 citations
   Computer Science · Physics and Astronomy · #Computability, Logic, AI Algorithms #Space Science and Extraterrestrial Life #cs.AI #cs.LG
7. Human-Timescale Adaptation in an Open-Ended Task Space
   2023/01/18 by Adaptive Agent Team, Jakob Bauer, Bauer, Jakob +55 · 3 voices · 23 citations
   Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques
8. Structured State Space Models for In-Context Reinforcement Learning
   2023/03/07 by Chris Xiaoxuan Lu, Yannick Schroecker, Lu, Chris +11 · 26 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
9. Vision-Language Models as a Source of Rewards
   2023/12/14 by Kate Baumli, Baumli, Kate, Satinder Singh Baveja +50 · 14 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
10. Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
    2022/05/26 by Tom Zahavy, Yannick Schroecker, Zahavy, Tom +11 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
11. On the role of planning in model-based deep reinforcement learning
    2020/11/08 by Jessica B. Hamrick, Hamrick, Jessica B., Abram L. Friesen +17 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #cs.AI #cs.LG
12. Privileged Information Dropout in Reinforcement Learning
    2020/05/19 by Pierre-Alexandre Kamienny, Kai Arulkumaran, Kamienny, Pierre-Alexandre +7 · 2 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
13. Learning from Demonstration in the Wild
    2018/11/08 by Feryal Behbahani, Behbahani, Feryal, Kyriacos Shiarlis +19 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
14. Modular Meta-Learning with Shrinkage
    2019/09/12 by Yutian Chen, Abram L. Friesen, Chen, Yutian +11 · 1 citation
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis #Topic Modeling #cs.AI #cs.LG #stat.ML
15. Model-Value Inconsistency as a Signal for Epistemic Uncertainty
    2021/12/08 by Angelos Filos, Filos, Angelos, Eszter Vértes +17 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics