Hattie Zhou

According to our database, Hattie Zhou authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Societal Frameworks Can Improve LLM Alignment.

Karolina Stanczak, Nicholas Meade, Mehar Bhatia, Hattie Zhou, Konstantin Böttinger, Jeremy Barnes, Jason Stanley, Nicolas Papernot, Nicolas Chapados, Denis Therien, Timothy P. Lillicrap, Ana Marasovic, Sylvie Delacroix, Gillian K. Hadfield, Siva Reddy

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

Societal Alignment Frameworks Can Improve LLM Alignment.

Karolina Stanczak, Nicholas Meade, Mehar Bhatia, Hattie Zhou, Konstantin Böttinger, Jeremy Barnes, Jason Stanley, Jessica Montgomery, Richard S. Zemel, Nicolas Papernot, Nicolas Chapados, Denis Therien, Timothy P. Lillicrap, Ana Marasovic, Sylvie Delacroix, Gillian K. Hadfield, Siva Reddy

CoRR, March, 2025

Step-by-Step Diffusion: An Elementary Tutorial.

Preetum Nakkiran, Arwen Bradley, Hattie Zhou, Madhu Advani

Found. Trends Comput. Graph. Vis., 2025

A Formal Framework for Understanding Length Generalization in Transformers.

Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Raj Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

What Algorithms can Transformers Learn? A Study in Length Generalization.

Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua M. Susskind, Samy Bengio, Preetum Nakkiran

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Vanishing Gradients in Reinforcement Finetuning of Language Models.

Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok.

Pascal Tikeng Notsawo Jr., Hattie Zhou, Mohammad Pezeshki, Irina Rish, Guillaume Dumas

CoRR, 2023

2022

Teaching Algorithmic Reasoning via In-context Learning.

Hattie Zhou, Azade Nova, Hugo Larochelle, Aaron C. Courville, Behnam Neyshabur, Hanie Sedghi

CoRR, 2022

Fortuitous Forgetting in Connectionist Networks.

Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville

Proceedings of the Tenth International Conference on Learning Representations, 2022

2019

Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask.

Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

LCA: Loss Change Allocation for Neural Network Training.

Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019