Zhou, Hattie

9 publications

ICLR 2025 A Formal Framework for Understanding Length Generalization in Transformers Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn

ICLRW 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 Zemel, Nicolas Papernot, Nicolas Chapados, Denis Therien, Timothy P Lillicrap, Ana Marasovic, Sylvie Delacroix, Gillian K Hadfield, Siva Reddy

ICLR 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

ICLR 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

NeurIPSW 2023 What Algorithms Can Transformers Learn? a Study in Length Generalization Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua Susskind, Samy Bengio, Preetum Nakkiran

ICLR 2022 Fortuitous Forgetting in Connectionist Networks Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron Courville

NeurIPS 2019 Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski

ICMLW 2019 Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski

NeurIPS 2019 LCA: Loss Change Allocation for Neural Network Training Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski