187 citations · 1.6k across the 127 of their papers we have counts for
12 papers · 2 filters
Compositional Generalization for Data-to-Text Generation
Xinnuo Xu, Ivan Titov, Mirella Lapata
Data-to-text generation involves transforming structured data, often represented as predicate-argument tuples, into coherent textual descriptions. Despite recent advances, systems…
SimLM: Can Language Models Infer Parameters of Physical Systems?
Sean Memery, Mirella Lapata, Kartic Subr
Several machine learning methods aim to learn or reason about complex physical systems. A common first-step towards reasoning is to infer system parameters from observations of its…
PixT3: Pixel-based Table-To-Text Generation
Iñigo Alonso, Eneko Agirre, Mirella Lapata
Table-to-text generation involves generating appropriate textual descriptions given structured tabular data. It has attracted increasing attention in recent years thanks to the pop…
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings +3
Although the advancements of pre-trained Large Language Models have significantly accelerated recent progress in NLP, their ever-increasing size poses significant challenges for co…
Visual Storytelling with Question-Answer Plans
Danyang Liu, Mirella Lapata, Frank Keller
Visual storytelling aims to generate compelling narratives from image sequences. Existing models often focus on enhancing the representation of the image sequence, e.g., with exter…
Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing
Tom Sherborne, Tom Hosking, Mirella Lapata
Cross-lingual semantic parsing transfers parsing capability from a high-resource language (e.g., English) to low-resource languages with scarce training data. Previous work has pri…