| Compositional Languages Emerge in a Neural Iterated Learning Model Y Ren, S Guo, M Labeau, SB Cohen, S Kirby International Conference on Learning Representations 2020, 2020 | 128* | 2020 |
| Direct Language Model Alignment from Online AI Feedback S Guo, B Zhang, T Liu, T Liu, M Khalman, F Llinares, A Rame, T Mesnard, ... arXiv preprint arXiv:2402.04792, 2024 | 117 | 2024 |
| The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents S Guo, Y Ren, S Havrylov, S Frank, I Titov, K Smith Evolution of Language International Conferences, 2020 | 37 | 2020 |
| Better Supervisory Signals by Observing Learning Paths Y Ren, S Guo, DJ Sutherland International Conference on Learning Representations, 2022 | 26 | 2022 |
| Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation R Chen, Y Rong, S Guo, J Han, F Sun, T Xu, W Huang arXiv preprint arXiv:2203.07988, 2022 | 23 | 2022 |
| Decoding-time Realignment of Language Models T Liu, S Guo, L Bianco, D Calandriello, Q Berthet, F Llinares, J Hoffmann, ... arXiv preprint arXiv:2402.02992, 2024 | 20 | 2024 |
| Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability S Guo, Y Ren, K Mathewson, S Kirby, SV Albrecht, K Smith International Conference on Learning Representations, 2022 | 20* | 2022 |
| Employing External Rich Knowledge for Machine Comprehension. B Wang, S Guo, K Liu, S He, J Zhao IJCAI, 2929-2925, 2016 | 18 | 2016 |
| How to prepare your task head for finetuning Y Ren, S Guo, W Bae, DJ Sutherland International Conference on Learning Representations, 2023 | 17 | 2023 |
| Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? S Guo, X Zeng, S He, K Liu, J Zhao Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 17 | 2017 |
| DRED: Zero-shot transfer in reinforcement learning via data-regularised environment design S Garcin, J Doran, S Guo, CG Lucas, SV Albrecht arXiv preprint arXiv:2402.03479, 2024 | 14* | 2024 |
| Deep reinforcement learning for multi-agent interaction IH Ahmed, C Brewitt, I Carlucho, F Christianos, M Dunion, E Fosong, ... Ai Communications 35 (4), 357-368, 2022 | 14 | 2022 |
| Economics Arena for Large Language Models S Guo, H Bu, H Wang, Y Ren, D Sui, Y Shang, S Lu arXiv preprint arXiv:2401.01735, 2024 | 13* | 2024 |
| Ijcnlp-2017 task 5: Multi-choice question answering in examinations S Guo, K Liu, S He, C Liu, J Zhao, Z Wei Proceedings of the IJCNLP 2017, Shared Tasks, 34-40, 2017 | 13 | 2017 |
| Emergence of Numeric Concepts in Multi-Agent Autonomous Communication S Guo arXiv preprint arXiv:1911.01098, 2019 | 6 | 2019 |
| Communicative Efficiency or Iconic Learning: Do Acquisition and Communicative Pressures Interact to Shape Colour-Naming Systems? B Gyevnar, G Dagan, C Haley, S Guo, F Mollica Entropy 24 (11), 1542, 2022 | 5 | 2022 |
| Bias Amplification in Language Model Evolution: An Iterated Learning Perspective Y Ren, S Guo, L Qiu, B Wang, DJ Sutherland The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | 3* | |
| lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning S Guo, Y Ren, SV Albrecht, K Smith The Twelfth International Conference on Learning Representations, 0 | 2* | |
| AI model collapse might be prevented by studying human language transmission K Smith, S Kirby, S Guo, TL Griffiths Nature 633 (8030), 525, 2024 | 1 | 2024 |
| Reinforcement Learning S Garcin, S Guo | | 2023 |
Yi RenUniversity of British Columbiaכתובת אימייל מאומתת בדומיין cs.ubc.ca