Shangmin Guo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Spatially Distributed

Reinforcement Learning

Top Venues

Publications

Shangmin Guo, Haoran Bu, Haochuan Wang, Yi Ren, Dianbo Sui, Yuming Shang, Siting Lu
Economics Arena for Large Language Models. CoRR (2024)
Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning. ICLR (2024)
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. CoRR (2024)
Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
Decoding-time Realignment of Language Models. CoRR (2024)
Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland
Language Model Evolution: An Iterated Learning Perspective. CoRR (2024)
Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel
Direct Language Model Alignment from Online AI Feedback. CoRR (2024)
Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith
Sample Relationship from Learning Dynamics Matters for Generalisation. CoRR (2024)
Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland
How to prepare your task head for finetuning. CoRR (2023)
Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland
How to prepare your task head for finetuning. ICLR (2023)
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning. CoRR (2023)
Balint Gyevnar, Gautier Dagan, Coleman Haley, Shangmin Guo, Frank Mollica
Communicative Efficiency or Iconic Learning: Do Acquisition and Communicative Pressures Interact to Shape Colour- Naming Systems? Entropy 24 (11) (2022)
Runfa Chen, Yu Rong, Shangmin Guo, Jiaqi Han, Fuchun Sun, Tingyang Xu, Wenbing Huang
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation. CoRR (2022)
Yi Ren, Shangmin Guo, Danica J. Sutherland
Better Supervisory Signals by Observing Learning Paths. CoRR (2022)
Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht
Deep Reinforcement Learning for Multi-Agent Interaction. CoRR (2022)
Yi Ren, Shangmin Guo, Danica J. Sutherland
Better Supervisory Signals by Observing Learning Paths. ICLR (2022)
Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht
Deep reinforcement learning for multi-agent interaction. AI Commun. 35 (4) (2022)
Shangmin Guo, Yi Ren, Kory Wallace Mathewson, Simon Kirby, Stefano V. Albrecht, Kenny Smith
Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability. ICLR (2022)
Shangmin Guo, Yi Ren, Kory W. Mathewson, Simon Kirby, Stefano V. Albrecht, Kenny Smith
Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability. CoRR (2021)
Shangmin Guo, Yi Ren, Agnieszka Slowik, Kory W. Mathewson
Inductive Bias and Language Expressivity in Emergent Communication. CoRR (2020)
Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby
Compositional languages emerge in a neural iterated learning model. ICLR (2020)
Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby
Compositional Languages Emerge in a Neural Iterated Learning Model. CoRR (2020)
Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, Kenny Smith
The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents. CoRR (2019)
Shangmin Guo
Emergence of Numeric Concepts in Multi-Agent Autonomous Communication. CoRR (2019)
Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? EACL (1) (2017)
Shangmin Guo, Kang Liu, Shizhu He, Cao Liu, Jun Zhao, Zhuoyu Wei
IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations. IJCNLP (Shared Tasks) (2017)
Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao
Employing External Rich Knowledge for Machine Comprehension. IJCAI (2016)