30 citations · 40 across the 8 of their papers we have counts for
9 papers
Language Bias under Conflicting Information in Multilingual LLMs
Robert Östling, Murathan Kurfalı
Large Language Models (LLMs) have been shown to contain biases in the process of integrating conflicting information when answering questions. Here we ask whether such biases also…
Zero-shot transfer for implicit discourse relation classification
Murathan Kurfalı, Robert Östling
Automatically classifying the relation between sentences in a discourse is a challenging task, in particular when there is no overt expression of the relation. It becomes even more…
What do Language Representations Really Represent?
Johannes Bjerva, Robert Östling, Maria Han Veiga +2
A neural language model trained on a text corpus can be used to induce distributed representations of words, such that similar words end up with similar representations. If the cor…
The Helsinki Neural Machine Translation System
Robert Östling, Yves Scherrer, Jörg Tiedemann +2
We introduce the Helsinki Neural Machine Translation system (HNMT) and how it is applied in the news translation task at WMT 2017, where it ranked first in both the human and autom…
Neural machine translation for low-resource languages
Robert Östling, Jörg Tiedemann
Neural machine translation (NMT) approaches have improved the state of the art in many machine translation settings over the last couple of years, but they require large amounts of…
SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection with Attentional Sequence-to-Sequence Models
Robert Östling, Johannes Bjerva
This paper describes the Stockholm University/University of Groningen (SU-RUG) system for the SIGMORPHON 2017 shared task on morphological inflection. Our system is based on an att…