Shangmin Guo - RankMe

31 papers A* 9Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency. IEEE Trans. Knowl. Data Eng. Wei Huang, Yunxiao Zhang, Shangmin Guo, Yu-Ming Shang, Xiangling Fu
2025	J	`jnl`	Sample, Predict, then Proceed: Self-Verification Sampling for Tool Use of LLMs. CoRR Shangmin Guo, Omar Darwiche Domingues, Raphaël Avalos, Aaron C. Courville, Florian Strub
2024	A*	`conf`	Bias Amplification in Language Model Evolution: An Iterated Learning Perspective. NeurIPS Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland
2024	A*	`conf`	DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design. ICML Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
2024	A*	`conf`	Decoding-time Realignment of Language Models. ICML Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
2024	J	`jnl`	Decoding-time Realignment of Language Models. CoRR Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
2024	J	`jnl`	Direct Language Model Alignment from Online AI Feedback. CoRR Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel
2024	J	`jnl`	Economics Arena for Large Language Models. CoRR Shangmin Guo, Haoran Bu, Haochuan Wang, Yi Ren, Dianbo Sui, Yuming Shang, Siting Lu
2024	J	`jnl`	ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. CoRR Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
2024	J	`jnl`	Language Model Evolution: An Iterated Learning Perspective. CoRR Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland
2024	J	`jnl`	Sample Relationship from Learning Dynamics Matters for Generalisation. CoRR Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith
2024	A*	`conf`	lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning. ICLR Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith
2023	J	`jnl`	How the level sampling process impacts zero-shot generalisation in deep reinforcement learning. CoRR Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
2023	A*	`conf`	How to prepare your task head for finetuning. ICLR Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland
2023	J	`jnl`	How to prepare your task head for finetuning. CoRR Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland
2022	A*	`conf`	Better Supervisory Signals by Observing Learning Paths. ICLR Yi Ren, Shangmin Guo, Danica J. Sutherland
2022	J	`jnl`	Better Supervisory Signals by Observing Learning Paths. CoRR Yi Ren, Shangmin Guo, Danica J. Sutherland
2022	J	`jnl`	Communicative Efficiency or Iconic Learning: Do Acquisition and Communicative Pressures Interact to Shape Colour- Naming Systems? Entropy Balint Gyevnar, Gautier Dagan, Coleman Haley, Shangmin Guo, Frank Mollica
2022	J	`jnl`	Deep Reinforcement Learning for Multi-Agent Interaction. CoRR 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
2022	J	`jnl`	Deep reinforcement learning for multi-agent interaction. AI Commun. 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
2022	A*	`conf`	Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability. ICLR Shangmin Guo, Yi Ren, Kory Wallace Mathewson, Simon Kirby, Stefano V. Albrecht, Kenny Smith
2022	J	`jnl`	Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation. CoRR Runfa Chen, Yu Rong, Shangmin Guo, Jiaqi Han, Fuchun Sun, Tingyang Xu, Wenbing Huang
2021	J	`jnl`	Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability. CoRR Shangmin Guo, Yi Ren, Kory W. Mathewson, Simon Kirby, Stefano V. Albrecht, Kenny Smith
2020	J	`jnl`	Compositional Languages Emerge in a Neural Iterated Learning Model. CoRR Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby
2020	A*	`conf`	Compositional languages emerge in a neural iterated learning model. ICLR Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby
2020	J	`jnl`	Inductive Bias and Language Expressivity in Emergent Communication. CoRR Shangmin Guo, Yi Ren, Agnieszka Slowik, Kory W. Mathewson
2019	J	`jnl`	Emergence of Numeric Concepts in Multi-Agent Autonomous Communication. CoRR Shangmin Guo
2019	J	`jnl`	The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents. CoRR Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, Kenny Smith
2017	—	`conf`	IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations. IJCNLP (Shared Tasks) Shangmin Guo, Kang Liu, Shizhu He, Cao Liu, Jun Zhao, Zhuoyu Wei
2017	—	`conf`	Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? EACL (1) Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao
2016	A*	`conf`	Employing External Rich Knowledge for Machine Comprehension. IJCAI Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao