Learning which features matter: RoBERTa acquires a preference for linguistic generalizations (eventually) A Warstadt, Y Zhang, HS Li, H Liu, SR Bowman arXiv preprint arXiv:2010.05358, 2020 | 140 | 2020 |
When do you need billions of words of pretraining data? Y Zhang, A Warstadt, HS Li, SR Bowman arXiv preprint arXiv:2011.04946, 2020 | 139 | 2020 |
Uncertainty in natural language generation: From theory to applications J Baan, N Daheim, E Ilia, D Ulmer, HS Li, R Fernández, B Plank, ... arXiv preprint arXiv:2307.15703, 2023 | 28 | 2023 |
Python Code Generation by Asking Clarification Questions HS Li, M Mesgar, AFT Martins, I Gurevych arXiv preprint arXiv:2212.09885, 2022 | 6 | 2022 |
Asking clarification questions for code generation in general-purpose programming language HS Li, M Mesgar, AFT Martins, I Gurevych arXiv preprint arXiv:2212.09885, 2022 | 2 | 2022 |
Reranking laws for language generation: A communication-theoretic perspective A Farinhas, HS Li, AFT Martins arXiv preprint arXiv:2409.07131, 2024 | | 2024 |
DOCE: Finding the Sweet Spot for Execution-Based Code Generation HS Li, P Fernandes, I Gurevych, AFT Martins arXiv preprint arXiv:2408.13745, 2024 | | 2024 |