Results 301 to 310 of about 4,624,323 (348)

Understanding Cross-Lingual Alignment - A Survey

Annual Meeting of the Association for Computational Linguistics
Cross-lingual alignment, the meaningful similarity of representations across languages in multilingual language models, has been an active field of research in recent years.
Katharina Hämmerl, Jindvrich Libovick'y, Alexander Fraser   +2 more
semanticscholar   +1 more source

AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging

North American Chapter of the Association for Computational Linguistics
As an effective alternative to the direct fine-tuning on target tasks in specific languages, cross-lingual transfer addresses the challenges of limited training data by decoupling ''task ability'' and ''language ability'' by fine-tuning on the target ...
Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing   +4 more
semanticscholar   +1 more source

LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback

Annual Meeting of the Association for Computational Linguistics
To democratize large language models (LLMs) to most natural languages, it is imperative to make these models capable of understanding and generating texts in many languages, in particular low-resource ones.
Wen Lai, Mohsen Mesgar, Alexander Fraser
semanticscholar   +1 more source

Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding

International Workshop on the Semantic Web, 2017
Entity alignment is the task of finding entities in two knowledge bases (KBs) that represent the same real-world object. When facing KBs in different natural languages, conventional cross-lingual entity alignment methods rely on machine translation to ...
Zequn Sun, Wei Hu, Chengkai Li
semanticscholar   +1 more source

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models

Conference on Empirical Methods in Natural Language Processing
Despite their popularity in non-English NLP, multilingual language models often underperform monolingual ones due to inter-language competition for model parameters. We propose Cross-lingual Expert Language Models (X-ELM), which mitigate this competition
Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke S. Zettlemoyer   +6 more
semanticscholar   +1 more source

Probing the Emergence of Cross-lingual Alignment during LLM Training

Annual Meeting of the Association for Computational Linguistics
Multilingual Large Language Models (LLMs) achieve remarkable levels of zero-shot cross-lingual transfer performance. We speculate that this is predicated on their ability to align languages without explicit supervision from parallel sentences.
Hetong Wang, Pasquale Minervini, E. Ponti   +2 more
semanticscholar   +1 more source

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

Annual Meeting of the Association for Computational Linguistics
Text watermarking technology aims to tag and identify content produced by large language models (LLMs) to prevent misuse. In this study, we introduce the concept of cross-lingual consistency in text watermarking, which assesses the ability of text ...
Zhiwei He, Binglin Zhou, Hong-ping Hao, Aiwei Liu, Xing Wang, Zhaopeng Tu, Zhuosheng Zhang, Rui Wang   +7 more
semanticscholar   +1 more source

Cross-lingual question answering

2012
Innerhalb der letzten zehn Jahre hat sich Question Answering zu einem intensiv erforschten Themengebiet gewandelt, es stellt den nächsten Schritt des Information Retrieval dar, mit dem Bestreben einen präziseren Zugang zu großen Datenbeständen von verfügbaren Informationen bereitzustellen.
openaire   +1 more source

Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly

North American Chapter of the Association for Computational Linguistics
Despite their strong ability to retrieve knowledge in English, current large language models show imbalance abilities in different languages. Two approaches are proposed to address this, i.e., multilingual pretraining and multilingual instruction tuning.
Changjiang Gao, Hongda Hu, Peng Hu, Jiajun Chen, Jixing Li, Shujian Huang   +5 more
semanticscholar   +1 more source

Cross-lingual font style transfer with full-domain convolutional attention

Pattern Recognition
In this paper, we propose a new cross-lingual font style transfer model, FCAGAN, which enables font style transfer between di ff erent languages by observing a small number of samples.
Hui Zhao, Tianlong Ji, P. Rosin, Yu-Kun Lai, Weiliang Meng, Yao-nan Wang   +5 more
semanticscholar   +1 more source