Haau-Sing Li

According to our database, Haau-Sing Li authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Formalizing Test-Time Compute for Function-Level Code Generation.

Haau-Sing Li, Patrick Fernandes, Iryna Gurevych, André F. T. Martins

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

2024

DOCE: Finding the Sweet Spot for Execution-Based Code Generation.

Haau-Sing Li, Patrick Fernandes, Iryna Gurevych, André F. T. Martins

CoRR, 2024

Reranking Laws for Language Generation: A Communication-Theoretic Perspective.

António Farinhas, Haau-Sing Li, André F. T. Martins

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Uncertainty in Natural Language Generation: From Theory to Applications.

Joris Baan, Nico Daheim, Evgenia Ilia, Dennis Ulmer, Haau-Sing Li, Raquel Fernández, Barbara Plank, Rico Sennrich, Chrysoula Zerva, Wilker Aziz

CoRR, 2023

Python Code Generation by Asking Clarification Questions.

Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Asking Clarification Questions for Code Generation in General-Purpose Programming Language.

Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych

CoRR, 2022

2020

When Do You Need Billions of Words of Pretraining Data?

Yian Zhang, Alex Warstadt, Haau-Sing Li, Samuel R. Bowman

CoRR, 2020

Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually).

Alex Warstadt, Yian Zhang, Haau-Sing Li, Haokun Liu, Samuel R. Bowman

CoRR, 2020