SOTAVerified

Cross-Lingual Transfer

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.

Papers

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Showing 191–200 of 782 papers

TitleStatusHype
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs—0
Soft Language Prompts for Language TransferCode0
Cross-Lingual Transfer Learning for Speech Translation—0
Self-Translate-Train: Enhancing Cross-Lingual Transfer of Large Language Models via Inherent Capability—0
Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs—0
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training AlignmentCode0
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language ModelsCode0
The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models—0
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm—0
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4—Unverified
2mT0-13BAccuracy84.45—Unverified
3RoBERTa Large (translate test)Accuracy76.05—Unverified
4BLOOMZAccuracy75.5—Unverified
5MAD-X BaseAccuracy60.94—Unverified
6mGPTAccuracy55.5—Unverified