Alex Tamkin

1. How AI Impacts Skill Formation
   A randomized study found developers who used AI to learn a new Python library scored 17% lower on a skill quiz without coding any faster.
   2026/01/28 by Judy Hanwen Shen, Alex Tamkin · 100 voices · 5 citations
   #cs.CY #cs.AI #cs.HC
2. On the Opportunities and Risks of Foundation Models
   2021/08/16 by Rishi Bommasani, Bommasani, Rishi, Drew A. Hudson +233 · 11 voices · 598 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
3. Kronfluence: Influence Functions with Eigenvalue-corrected Kronecker-Factored Approximate Curvature
   2023/08/07 by Roger Grosse, Grosse, Roger, Juhan Bae +31 · 3 voices · 58 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
4. Towards Measuring the Representation of Subjective Global Opinions in Language Models
   2023/06/28 by Esin Durmus, Karina Nguyen, Durmus, Esin +33 · 1 voice · 64 citations
   Computer Science · Social Sciences · #Computational and Text Analysis Methods #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL
5. Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
   2021/02/04 by Alex Tamkin, Tamkin, Alex, Miles Brundage +5 · 15 citations
   Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
6. Evaluating and Mitigating Discrimination in Language Model Decisions
   2023/12/06 by Alex Tamkin, Tamkin, Alex, Amanda Askell +15 · 19 citations
   Social Sciences · Computer Science · #Artificial Intelligence in Law #Topic Modeling
7. Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
   2025/04/21 by Saffron Huang, Huang, Saffron, Esin Durmus +17 · 3 voices · 19 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.CY #cs.LG
8. Language Through a Prism: A Spectral Approach for Multiscale Language Representations
   2020/11/09 by Alex Tamkin, Tamkin, Alex, Dan Jurafsky +3 · 3 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
9. Viewmaker Networks: Learning Views for Unsupervised Representation Learning
   2020/10/14 by Alex Tamkin, Mike Wu, Tamkin, Alex +3 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
10. Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
    2023/09/23 by Wai Tong Chung, Chung, Wai Tong, Bassem Akoush +21 · 3 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computational Physics (physics.comp-ph) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG)
11. Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
    2022/12/16 by Alex Tamkin, Tamkin, Alex, Margalit Glasgow +5 · 2 citations
    Computer Science · Neuroscience · #Audio and Speech Processing (eess.AS) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Hearing Loss and Rehabilitation #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
12. Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
    2021/12/10 by A. Vijay Karthik, Mike Wu, Karthik, Ananya +5 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Remote-Sensing Image Classification
13. Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies
    2022/02/24 by Zhengxuan Wu, Alex Tamkin, Wu, Zhengxuan +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling