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 771–780 of 782 papers

TitleStatusHype
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning—0
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study—0
PAW at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation : Exploring Cross Lingual Transfer, Augmentations and Adversarial Training—0
Persian Natural Language Inference: A Meta-learning approach—0
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings—0
Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer—0
Predicting Foreign Language Usage from English-Only Social Media Posts—0
Predicting the Spelling Difficulty of Words for Language Learners—0
Probing Multilingual Language Models for Discourse—0
Probing the Emergence of Cross-lingual Alignment during LLM Training—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