Guo, Shangmin

12 publications

NeurIPS 2024 Bias Amplification in Language Model Evolution: An Iterated Learning Perspective Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland

ICML 2024 DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht

ICML 2024 Decoding-Time Realignment of Language Models Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel

NeurIPSW 2024 Economics Arena for Large Language Models Shangmin Guo, Haochuan Wang, Haoran Bu, Yi Ren, Dianbo Sui, Yu-Ming Shang, Siting Estee Lu

ICLR 2024 lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning Shangmin Guo, Yi Ren, Stefano V Albrecht, Kenny Smith

NeurIPSW 2023 How the Level Sampling Process Impacts Zero-Shot Generalisation in Deep Reinforcement Learning Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht

ICLR 2023 How to Prepare Your Task Head for Finetuning Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland

ICLR 2022 Better Supervisory Signals by Observing Learning Paths Yi Ren, Shangmin Guo, Danica J. Sutherland

ICLR 2022 Expressivity of Emergent Languages Is a Trade-Off Between Contextual Complexity and Unpredictability Shangmin Guo, Yi Ren, Kory Wallace Mathewson, Simon Kirby, Stefano V Albrecht, Kenny Smith

NeurIPSW 2022 Sample Relationships Through the Lens of Learning Dynamics with Label Information Shangmin Guo, Yi Ren, Stefano V Albrecht, Kenny Smith

ICLR 2020 Compositional Languages Emerge in a Neural Iterated Learning Model Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby

IJCAI 2016 Employing External Rich Knowledge for Machine Comprehension Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao