2 citations · 2 across the 3 of their papers we have counts for
3 papers
CONGRAD:Conflicting Gradient Filtering for Multilingual Preference Alignment
Jiangnan Li, Thuy-Trang Vu, Christian Herold +3
Naive joint training of large language models (LLMs) for multilingual preference alignment can suffer from negative interference. This is a known issue in multilingual training, wh…
Machine Translation for Machines: the Sentiment Classification Use Case
Amirhossein Tebbifakhr, Luisa Bentivogli, Matteo Negri +1
We propose a neural machine translation (NMT) approach that, instead of pursuing adequacy and fluency ("human-oriented" quality criteria), aims to generate translations that are be…
Dimension Projection among Languages based on Pseudo-relevant Documents for Query Translation
Javid Dadashkarimi, Mahsa S. Shahshahani, Amirhossein Tebbifakhr +2
Using top-ranked documents in response to a query has been shown to be an effective approach to improve the quality of query translation in dictionary-based cross-language informat…