565 citations · 1.3k across the 15 of their papers we have counts for
18 papers
Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks
Rochelle Choenni, Ekaterina Shutova, Dan Garrette
Recent work has proposed explicitly inducing language-wise modularity in multilingual LMs via sparse fine-tuning (SFT) on per-language subnetworks as a means of better guiding cros…
The Impact of Depth on Compositional Generalization in Transformer Language Models
Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta +3
To process novel sentences, language models (LMs) must generalize compositionally -- combine familiar elements in new ways. What aspects of a model's structure promote compositiona…
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin +24
Data scarcity is a crucial issue for the development of highly multilingual NLP systems. Yet for many under-represented languages (ULs) -- languages for which NLP re-search is part…
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
Rochelle Choenni, Dan Garrette, Ekaterina Shutova
Multilingual large language models (MLLMs) are jointly trained on data from many different languages such that representation of individual languages can benefit from other languag…
Character-Aware Models Improve Visual Text Rendering
Rosanne Liu, Dan Garrette, Chitwan Saharia +7
Current image generation models struggle to reliably produce well-formed visual text. In this paper, we investigate a key contributing factor: popular text-to-image models lack cha…
Dialect-robust Evaluation of Generated Text
Jiao Sun, Thibault Sellam, Elizabeth Clark +6
Evaluation metrics that are not robust to dialect variation make it impossible to tell how well systems perform for many groups of users, and can even penalize systems for producin…