Xuechen Li

1. On the Opportunities and Risks of Foundation Models
   2021/08/16 by Rishi Bommasani, Bommasani, Rishi, Drew A. Hudson +233 · 11 voices · 531 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
2. Foundation Models and Fair Use
   2023/03/28 by Peter Henderson, Xuechen Li, Henderson, Peter +9 · 7 voices · 10 citations
   Business, Management and Accounting · Computer Science · #Copyright and Intellectual Property #Digital Rights Management and Security #Law, AI, and Intellectual Property #cs.AI #cs.CY #cs.LG
3. AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
   2023/05/22 by Yann Dubois, Xuechen Li, Dubois, Yann +15 · 63 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
4. Large Language Models Can Be Strong Differentially Private Learners
   2021/10/12 by Xuechen Li, Li, Xuechen, Florian Tramèr +5 · 43 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
5. Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
   2023/02/11 by Daniel Kang, Xuechen Li, Kang, Daniel +9 · 40 citations
   Computer Science · #Topic Modeling #Software Engineering Research #Natural Language Processing Techniques
6. Neural SDEs as Infinite-Dimensional GANs
   2021/02/06 by Patrick Kidger, James Foster, Kidger, Patrick +7 · 22 citations
   Economics, Econometrics and Finance · Environmental Science · Physics and Astronomy · #FOS: Computer and information sciences #Hydrology and Drought Analysis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Stochastic processes and financial applications
7. Inference Suboptimality in Variational Autoencoders
   2018/01/10 by Chris Cremer, Xuechen Li, Cremer, Chris +3 · 16 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
8. Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
   2022/10/25 by Xiang Yue, Huseyin A. Inan, Yue, Xiang +14 · 14 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Digital and Cyber Forensics
9. Efficient and Accurate Gradients for Neural SDEs
   2021/05/27 by Patrick Kidger, Kidger, Patrick, James Foster +5 · 12 citations
   Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
10. Linguistic Calibration of Long-Form Generations
    2024/03/30 by Neil Band, Band, Neil, Xuechen Li +5 · 12 citations
    Computer Science · #Natural Language Processing Techniques
11. When Does Preconditioning Help or Hurt Generalization?
    2020/06/18 by Шун-ичи Амари, Jimmy Ba, Amari, Shun-ichi +13 · 4 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
12. TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction
    2023/06/26 by Xinquan Yang, Jinheng Xie, Yang, Xinquan +11 · 2 citations
    Dentistry · #Computer Vision and Pattern Recognition (cs.CV) #Dental Implant Techniques and Outcomes #Dental Radiography and Imaging #Dental Research and COVID-19 #FOS: Computer and information sciences