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 376–400 of 782 papers

TitleStatusHype
On the Universality of Deep Contextual Language Models—0
On the Usability of Transformers-based models for a French Question-Answering task—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition and Phoneme to Grapheme Translation—0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
Overcoming Vocabulary Constraints with Pixel-level Fallback—0
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR—0
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
Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing—0
Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning—0
QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages—0
Quality versus Quantity: Building Catalan-English MT Resources—0
Quantifying training challenges of dependency parsers—0
Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer—0
Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification—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