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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 782 papers

TitleStatusHype
Cross-lingual transfer of multilingual models on low resource African LanguagesCode0
Exploring the Impact of Data Quantity on ASR in Extremely Low-resource Languages—0
SpeechTaxi: On Multilingual Semantic Speech Classification—0
A multilingual training strategy for low resource Text to Speech—0
Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUDCode0
RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining—0
Defining Boundaries: The Impact of Domain Specification on Cross-Language and Cross-Domain Transfer in Machine Translation—0
Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer—0
Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled ManipulationsCode0
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual AlignmentCode0
ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination DetectionCode0
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection—0
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data SelectionCode0
Bilingual Adaptation of Monolingual Foundation Models—0
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot TechniquesCode0
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