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cs.CL2025
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…
cs.CL2019
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…