Efficient Language Model Training through Cross|Lingual and ...

Efficient Language Model Training through Cross-Lingual and ...

We introduce a cross-lingual and progressive transfer learning approach, called CLP-Transfer, that transfers models from a source language, for which ...

malteos/clp-transfer: Efficient Language Model Training ... - GitHub

Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning - malteos/clp-transfer.

EFFICIENT LANGUAGE MODEL TRAINING THROUGH CROSS ...

EFFICIENT LANGUAGE MODEL TRAINING THROUGH. CROSS-LINGUAL AND PROGRESSIVE TRANSFER. LEARNING. Malte Ostendorff & Georg Rehm. German Research ...

Efficient Language Model Training through Cross-Lingual and ...

Efficient Language Model Training through. Cross-Lingual and Progressive Transfer Learning Malte Ostendorff DFKI GmbH. Berlin, Germany malte.ostendorff@dfki ...

[PDF] Efficient Language Model Training through Cross-Lingual and ...

A cross-lingual and progressive transfer learning approach that transfers models from a source language, for which pretrained models are publicly available, ...

(PDF) Efficient Language Model Training through Cross-Lingual and ...

Training monolingual language models for low and mid-resource languages is made challenging by limited and often inadequate pretraining data. In ...

Efficient Language Model Training through Cross-Lingual ... - ar5iv

Efficient Language Model Training through. Cross-Lingual and Progressive Transfer Learning. Malte Ostendorff DFKI GmbH. Berlin, Germany malte.ostendorff@dfki ...

Efficient Language Model Training through Cross-Lingual and ...

Most Transformer language models are primarily pretrained on English text, limiting their use for other languages. As the model sizes grow, ...

Cross-lingual Language Model Pretraining - NIPS

Conneau et al. [11] showed how to perform unsupervised word translation by aligning monolingual word embedding spaces with adversarial training (MUSE). Lample ...

Distilling Efficient Language-Specific Models for Cross-Lingual ...

Whereas during standard pretraining, the model receives a single “hard” la- bel per training example, during distillation the stu- dent benefits ...

Efficiently Aligned Cross-Lingual Transfer Learning for ...

This limitation introduces bias and prevents people in minority language groups from accessing recent. NLP technologies. Driven by advances in ...

Cross-Lingual Transfer with Large Language Models via Adaptive...

... language, we can achieve effective cross-lingual transfer. Furthermore, unlike existing model merging methods that employ arithmetic addition, we propose a ...

CLP-Transfer: Cross-Lingual and Progressive Transfer Learning

Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning, Malte Ostendorff, Georg Rehm. Jan 2023. Most ...

Cross-Lingual Transfer - Papers With Code

Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning. no code yet • 23 Jan 2023. To address this problem, we introduce a ...

How To Implement Cross-lingual Transfer Learning In 5 Different Ways

Resource Efficiency: By leveraging a single multilingual model, developers can save resources compared to training separate models for each ...

Cross-lingual Language Model Pretraining - NIPS

Authors. Alexis CONNEAU, Guillaume Lample. Abstract. Recent studies have demonstrated the efficiency of generative pretraining for English natural language ...

Cross-Lingual Transfer with Language-Specific Subnetworks for ...

... language's subnetwork mask is trained jointly with the model during fine-tuning. ... multilingual pre-trained models: Settings, algorithms, and efficiency.

Cross-Lingual Transfer of Large Language Model by Visually ...

In particular, the Vokenization approach [65] initiated a new way of incorporating visual information into LLM training, demonstrating the ...

Efficient multi-lingual language model fine-tuning - fast.ai NLP

In such settings, it is often easier to collect a few hundred training examples in the low-resource language. The utility of zero-shot ...

Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural ...

Multilingual NMT (MNMT) enables training a single model that supports translation from multiple source lan- guages into multiple target languages, even those ...