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Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer

NAACL-HLT
This paper explores cost-efficient methods to adapt pretrained Large Language Models (LLMs) to new lower-resource languages, with a specific focus on Estonian. Leveraging the Llama 2 model, we investigate the impact of combining cross-lingual instruction-
Hele-Andra Kuulmets   +3 more
semanticscholar   +1 more source

AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought

Annual Meeting of the Association for Computational Linguistics
Cross-lingual chain-of-thought can effectively complete reasoning tasks across languages, which gains increasing attention. Recently, dominant approaches in the literature improve cross-lingual alignment capabilities by integrating reasoning knowledge ...
Yongheng Zhang   +4 more
semanticscholar   +1 more source

PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment

Conference on Empirical Methods in Natural Language Processing
Large language models demonstrate reasonable multilingual abilities, despite predominantly English-centric pretraining. However, the spontaneous multilingual alignment in these models is shown to be weak, leading to unsatisfactory cross-lingual transfer ...
Jiahuan Li   +3 more
semanticscholar   +1 more source

Cross-lingual query classification

Proceedings of the 2nd ACM workshop on Improving non english web searching, 2008
The non-English Web is growing at breakneck speed, but available language processing tools are mostly English based. Taxonomies are a case in point: while there are plenty of commercial and non-commercial taxonomies for the English Web, taxonomies for other languages are either not available or of very limited quality. Given that building taxonomies in
Xuerui Wang   +4 more
openaire   +1 more source

mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?

NAACL-HLT
Many pretrained multilingual models exhibit cross-lingual transfer ability, which is often attributed to a learned language-neutral representation during pretraining.
Tianze Hua, Tian Yun, Ellie Pavlick
semanticscholar   +1 more source

Cross-lingual

Proceedings of the 2019 Conference of the North, 2019
Kevin Blissett, Heng Ji
openaire   +2 more sources

Cross-lingual Transfer of Reward Models in Multilingual Alignment

North American Chapter of the Association for Computational Linguistics
Reinforcement learning with human feedback (RLHF) is shown to largely benefit from precise reward models (RMs). However, recent studies in reward modeling schemes are skewed towards English, limiting the applicability of RLHF in multilingual alignments ...
Jiwoo Hong   +4 more
semanticscholar   +1 more source

Cross-Lingual Propaganda Detection

2022 IEEE International Conference on Big Data (Big Data), 2022
Wenshan Zhang, Xi Zhang
openaire   +1 more source

Cross-Lingual Type Inference

2016
Entity typing is an essential task for constructing a knowledge base. However, many non-English knowledge bases fail to type their entities due to the absence of a reasonable local hierarchical taxonomy. Since constructing a widely accepted taxonomy is a hard problem, we propose to type these non-English entities with some widely accepted taxonomies in
Bo Xu   +5 more
openaire   +1 more source

Cross-lingual Continual Learning

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Meryem M’hamdi   +2 more
openaire   +1 more source

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