Employing External Rich Knowledge for Machine Comprehension. - Bingning Wang; Shangmin Guo; Kang Liu 001; Shizhu He; Jun Zhao 001 (IJCAI, 2016)

Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? - Shangmin Guo; Xiangrong Zeng; Shizhu He; Kang Liu 001; Jun Zhao 001 (EACL (1), 2017)

IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations. - Shangmin Guo; Kang Liu 001; Shizhu He; Cao Liu; Jun Zhao 001; Zhuoyu Wei (IJCNLP (Shared Tasks), 2017)

The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents. - Shangmin Guo; Yi Ren; Serhii Havrylov; Stella Frank; Ivan Titov 001; Kenny Smith (CoRR, 2019)

Emergence of Numeric Concepts in Multi-Agent Autonomous Communication. - Shangmin Guo (CoRR, 2019)

Compositional languages emerge in a neural iterated learning model. - Yi Ren; Shangmin Guo; Matthieu Labeau; Shay B. Cohen; Simon Kirby (ICLR, 2020)

Inductive Bias and Language Expressivity in Emergent Communication. - Shangmin Guo; Yi Ren; Agnieszka Slowik; Kory W. Mathewson (CoRR, 2020)

Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability. - Shangmin Guo; Yi Ren; Kory W. Mathewson; Simon Kirby; Stefano V. Albrecht; Kenny Smith (CoRR, 2021)

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 (ICLR, 2022)

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

Deep reinforcement learning for multi-agent interaction. - Ibrahim H. Ahmed 006; Cillian Brewitt; Ignacio Carlucho; Filippos Christianos; Mhairi Dunion; Elliot Fosong; Samuel Garcin; Shangmin Guo; Balint Gyevnar; Trevor McInroe; Georgios Papoudakis; Arrasy Rahman; et al. (AI Commun., 2022)

Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation. - Runfa Chen; Yu Rong 001; Shangmin Guo; Jiaqi Han; Fuchun Sun 001; Tingyang Xu; Wenbing Huang 001 (CoRR, 2022)

Communicative Efficiency or Iconic Learning: Do Acquisition and Communicative Pressures Interact to Shape Colour- Naming Systems? - Balint Gyevnar; Gautier Dagan; Coleman Haley; Shangmin Guo; Frank Mollica (Entropy, 2022)

How to prepare your task head for finetuning. - Yi Ren; Shangmin Guo; Wonho Bae; Danica J. Sutherland (ICLR, 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 (CoRR, 2023)

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

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

Economics Arena for Large Language Models. - Shangmin Guo; Haoran Bu; Haochuan Wang; Yi Ren; Dianbo Sui; Yuming Shang; Siting Lu (CoRR, 2024)

Sample Relationship from Learning Dynamics Matters for Generalisation. - Shangmin Guo; Yi Ren; Stefano V. Albrecht; Kenny Smith (CoRR, 2024)

ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. - Samuel Garcin; James Doran; Shangmin Guo; Christopher G. Lucas; Stefano V. Albrecht (CoRR, 2024)

Direct Language Model Alignment from Online AI Feedback. - Shangmin Guo; Biao Zhang; Tianlin Liu; Tianqi Liu 002; Misha Khalman; Felipe Llinares; Alexandre Ramé; Thomas Mesnard; Yao Zhao; Bilal Piot; Johan Ferret; Mathieu Blondel (CoRR, 2024)

Language Model Evolution: An Iterated Learning Perspective. - Yi Ren; Shangmin Guo; Linlu Qiu; Bailin Wang; Danica J. Sutherland (CoRR, 2024)

DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency. - Wei Huang; Yunxiao Zhang; Shangmin Guo; Yu-Ming Shang; Xiangling Fu (IEEE Trans. Knowl. Data Eng., 2025)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

Sample, Predict, then Proceed: Self-Verification Sampling for Tool Use of LLMs. - Shangmin Guo; Omar Darwiche Domingues; Raphaël Avalos; Aaron C. Courville; Florian Strub (CoRR, 2025)