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Haau-Sing Li
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2020 – today
- 2024
- [i6]Haau-Sing Li, Patrick Fernandes, Iryna Gurevych, André F. T. Martins:
DOCE: Finding the Sweet Spot for Execution-Based Code Generation. CoRR abs/2408.13745 (2024) - [i5]António Farinhas, Haau-Sing Li, André F. T. Martins:
Reranking Laws for Language Generation: A Communication-Theoretic Perspective. CoRR abs/2409.07131 (2024) - 2023
- [c1]Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Python Code Generation by Asking Clarification Questions. ACL (1) 2023: 14287-14306 - [i4]Joris Baan, Nico Daheim, Evgenia Ilia, Dennis Ulmer, Haau-Sing Li, Raquel Fernández, Barbara Plank, Rico Sennrich, Chrysoula Zerva, Wilker Aziz:
Uncertainty in Natural Language Generation: From Theory to Applications. CoRR abs/2307.15703 (2023) - 2022
- [i3]Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Asking Clarification Questions for Code Generation in General-Purpose Programming Language. CoRR abs/2212.09885 (2022) - 2020
- [i2]Alex Warstadt, Yian Zhang, Haau-Sing Li, Haokun Liu, Samuel R. Bowman:
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). CoRR abs/2010.05358 (2020) - [i1]Yian Zhang, Alex Warstadt, Haau-Sing Li, Samuel R. Bowman:
When Do You Need Billions of Words of Pretraining Data? CoRR abs/2011.04946 (2020)
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