Compositional languages emerge in a neural iterated learning model Y Ren, S Guo, M Labeau, SB Cohen, S Kirby ICLR2020, 2020 | 97 | 2020 |
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 Workshop: EmeCom@NeurIPS, 2019 | 30 | 2019 |
Better Supervisory Signals by Observing Learning Paths Y Ren, S Guo, DJ Sutherland ICLR2022, 2022 | 21 | 2022 |
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 ICLR2022, 2021 | 14* | 2021 |
How to prepare your task head for finetuning Y Ren, S Guo, W Bae, DJ Sutherland ICLR2023, 2023 | 11 | 2023 |
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings Y Ren, S Lavoie, M Galkin, DJ Sutherland, A Courville NeurIPS 2023, 2023 | 5 | 2023 |
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 | 4 | 2024 |
Language Model Evolution: An Iterated Learning Perspective Y Ren, S Guo, L Qiu, B Wang, DJ Sutherland arXiv preprint arXiv:2404.04286, 2024 | 1 | 2024 |
Learning Dynamics of LLM Finetuning Y Ren, DJ Sutherland arXiv preprint arXiv:2407.10490, 2024 | | 2024 |
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning S Guo, Y Ren, SV Albrecht, K Smith ICLR 2024, 2024 | | 2024 |
AdaFlood: Adaptive Flood Regularization W Bae, Y Ren, MO Ahmed, F Tung, DJ Sutherland, GL Oliveira arXiv preprint arXiv:2311.02891, 2023 | | 2023 |