Hattie Zhou

17 papers A* 6Journal 11
YearRankTypeTitle / Venue / Authors
2025 A* conf
A Formal Framework for Understanding Length Generalization in Transformers.
ICLR
Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Raj Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn
2025 J jnl
Societal Alignment Frameworks Can Improve LLM Alignment.
CoRR
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
2025 J jnl
Step-by-Step Diffusion: An Elementary Tutorial.
Found. Trends Comput. Graph. Vis.
Preetum Nakkiran, Arwen Bradley, Hattie Zhou, Madhu Advani
2024 J jnl
A Formal Framework for Understanding Length Generalization in Transformers.
CoRR
Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Raj Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn
2024 J jnl
Step-by-Step Diffusion: An Elementary Tutorial.
CoRR
Preetum Nakkiran, Arwen Bradley, Hattie Zhou, Madhu Advani
2024 A* conf
Vanishing Gradients in Reinforcement Finetuning of Language Models.
ICLR
Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2024 A* conf
What Algorithms can Transformers Learn? A Study in Length Generalization.
ICLR
Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua M. Susskind, Samy Bengio, Preetum Nakkiran
2023 J jnl
Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok.
CoRR
Pascal Tikeng Notsawo Jr., Hattie Zhou, Mohammad Pezeshki, Irina Rish, Guillaume Dumas
2023 J jnl
Vanishing Gradients in Reinforcement Finetuning of Language Models.
CoRR
Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2023 J jnl
What Algorithms can Transformers Learn? A Study in Length Generalization.
CoRR
Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Josh M. Susskind, Samy Bengio, Preetum Nakkiran
2022 A* conf
Fortuitous Forgetting in Connectionist Networks.
ICLR
Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville
2022 J jnl
Fortuitous Forgetting in Connectionist Networks.
CoRR
Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville
2022 J jnl
Teaching Algorithmic Reasoning via In-context Learning.
CoRR
Hattie Zhou, Azade Nova, Hugo Larochelle, Aaron C. Courville, Behnam Neyshabur, Hanie Sedghi
2019 A* conf
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask.
NeurIPS
Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski
2019 J jnl
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask.
CoRR
Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski
2019 A* conf
LCA: Loss Change Allocation for Neural Network Training.
NeurIPS
Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski
2019 J jnl
LCA: Loss Change Allocation for Neural Network Training.
CoRR
Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski