14 citations · 25 across the 11 of their papers we have counts for
12 papers
Training Bilingual LMs with Data Constraints in the Targeted Language
Skyler Seto, Maartje ter Hoeve, Richard He Bai +2
Large language models are trained on massive scrapes of the web, as required by current scaling laws. Most progress is made for English, given its abundance of high-quality pretrai…
GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning
Rita Ramos, Everlyn Asiko Chimoto, Maartje ter Hoeve +1
We introduce GrammaMT, a grammatically-aware prompting approach for machine translation that uses Interlinear Glossed Text (IGT), a common form of linguistic description providing…
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation
Ali Mousavi, Xin Zhan, He Bai +9
Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text from KG and vice versa. However models t…
High-Resource Methodological Bias in Low-Resource Investigations
Maartje ter Hoeve, David Grangier, Natalie Schluter
The central bottleneck for low-resource NLP is typically regarded to be the quantity of accessible data, overlooking the contribution of data quality. This is particularly seen in…
Encrypted distributed state estimation via affine averaging
N. Schlüter, P. Binfet, J. Kim +1
Distributed state estimation arises in many applications such as position estimation in robot swarms, clock synchronization for processor networks, and data fusion. One characteris…
Secure learning-based MPC via garbled circuit
K. Tjell, N. Schlüter, P. Binfet +1
Encrypted control seeks confidential controller evaluation in cloud-based or networked systems. Many existing approaches build on homomorphic encryption (HE) that allow simple math…