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)

When Do You Need Billions of Words of Pretraining Data? - Yian Zhang; Alex Warstadt; Haau-Sing Li; Samuel R. Bowman (CoRR, 2020)

Asking Clarification Questions for Code Generation in General-Purpose Programming Language. - Haau-Sing Li; Mohsen Mesgar; André F. T. Martins; Iryna Gurevych (CoRR, 2022)

Python Code Generation by Asking Clarification Questions. - Haau-Sing Li; Mohsen Mesgar; André F. T. Martins; Iryna Gurevych (ACL (1), 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)

Reranking Laws for Language Generation: A Communication-Theoretic Perspective. - António Farinhas; Haau-Sing Li; André Martins (NeurIPS, 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 (CoRR, 2024)