Liu, Jeremiah
- 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 · 1360 citations
#cs.CL #cs.AI
- 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 · 548 citations
Computer Science · #Semantic Web and Ontologies
- Measuring Calibration in Deep Learning
2019/04/02 by Jeremy Nixon, Nixon, Jeremy, Mike Dusenberry +11 · 54 citations
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
2021/06/16 by Jie Ren, Stanislav Fort, Ren, Jie +9 · 23 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
- Gemini: A Family of Highly Capable Multimodal Models
2023/12/19 by Gemini Team, Rohan Anil, Sebastian Borgeaud +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
- RRM: Robust Reward Model Training Mitigates Reward Hacking
2024/09/20 by Liu, Tianqi, Xiong, Wei, Ren, Jie +15 · 14 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Plex: Towards Reliability using Pretrained Large Model Extensions
2022/07/15 by Dustin Tran, Tran, Dustin, Jeremiah Liu +49 · 7 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
2021/06/07 by Zachary Nado, Neil Band, Nado, Zachary +49 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
2021/07/09 by Kivlichan, Ian D., Lin, Zi, Liu, Jeremiah +1 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
2023/04/17 by Zablotskaia, Polina, Phan, Du, Maynez, Joshua +3 · 3 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift
2021/11/25 by Kehang Han, Balaji Lakshminarayanan, Han, Kehang +3 · 1 citation
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Deep Classifiers with Label Noise Modeling and Distance Awareness
2021/10/06 by Fortuin, Vincent, Collier, Mark, Wenzel, Florian +7 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Vibe Checker: Aligning Code Evaluation with Human Preference
2025/10/08 by Zhong, Ming, Zhou, Xiang, Chang, Ting-Yun +9 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
- Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
2024/03/26 by Pryor, Connor, Yuan, Quan, Liu, Jeremiah +4 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)