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ORCIDShangmin Guo
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2020 – today
- 2024
[c10]Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith:
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning. ICLR 2024- [c9]Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht:
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design. ICML 2024 - [c8]Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel:
Decoding-time Realignment of Language Models. ICML 2024 - [i16]Shangmin Guo, Haoran Bu, Haochuan Wang, Yi Ren, Dianbo Sui, Yuming Shang, Siting Lu:
Economics Arena for Large Language Models. CoRR abs/2401.01735 (2024) - [i15]Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith:
Sample Relationship from Learning Dynamics Matters for Generalisation. CoRR abs/2401.08808 (2024) - [i14]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 abs/2402.02992 (2024) - [i13]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 abs/2402.03479 (2024) - [i12]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 abs/2402.04792 (2024) - [i11]Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland:
Language Model Evolution: An Iterated Learning Perspective. CoRR abs/2404.04286 (2024) - 2023
- [c7]Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland:
How to prepare your task head for finetuning. ICLR 2023 - [i10]Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland:
How to prepare your task head for finetuning. CoRR abs/2302.05779 (2023) - [i9]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 abs/2310.03494 (2023) - 2022
- [j2]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): 357-368 (2022) - [j1]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): 1542 (2022) - [c6]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 - [c5]Yi Ren, Shangmin Guo, Danica J. Sutherland:
Better Supervisory Signals by Observing Learning Paths. ICLR 2022 - [i8]Yi Ren, Shangmin Guo, Danica J. Sutherland:
Better Supervisory Signals by Observing Learning Paths. CoRR abs/2203.02485 (2022) - [i7]Runfa Chen, Yu Rong, Shangmin Guo, Jiaqi Han, Fuchun Sun, Tingyang Xu, Wenbing Huang:
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation. CoRR abs/2203.07988 (2022) - [i6]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 abs/2208.01769 (2022) - 2021
- [i5]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 abs/2106.03982 (2021) - 2020
- [c4]Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby:
Compositional languages emerge in a neural iterated learning model. ICLR 2020 - [i4]Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby:
Compositional Languages Emerge in a Neural Iterated Learning Model. CoRR abs/2002.01365 (2020) - [i3]Shangmin Guo, Yi Ren, Agnieszka Slowik, Kory W. Mathewson:
Inductive Bias and Language Expressivity in Emergent Communication. CoRR abs/2012.02875 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1910.05291 (2019) - [i1]Shangmin Guo:
Emergence of Numeric Concepts in Multi-Agent Autonomous Communication. CoRR abs/1911.01098 (2019) - 2017
- [c3]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: 111-120 - [c2]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: 34-40 - 2016
- [c1]Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao:
Employing External Rich Knowledge for Machine Comprehension. IJCAI 2016: 2929-2925
Coauthor Index
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last updated on 2024-09-04 01:21 CEST by the dblp team
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