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 401–425 of 782 papers

TitleStatusHype
Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification—0
RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining—0
Revisiting Machine Translation for Cross-lingual Classification—0
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer—0
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs—0
Romanization-based Large-scale Adaptation of Multilingual Language Models—0
RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning—0
Rumour Detection via Zero-shot Cross-lingual Transfer Learning—0
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings—0
Scaling Laws for Multilingual Language Models—0
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages—0
Self-Supervised Representations Improve End-to-End Speech Translation—0
Self-Translate-Train: Enhancing Cross-Lingual Transfer of Large Language Models via Inherent Capability—0
Semantic Pivots Enable Cross-Lingual Transfer in Large Language Models—0
SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods—0
Sequence Mixup for Zero-Shot Cross-Lingual Part-Of-Speech Tagging—0
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning—0
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension—0
SIGTYP 2020 Shared Task: Prediction of Typological Features—0
SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT—0
Soft Alignment of Modality Space for End-to-end Speech Translation—0
Soft Language Clustering for Multilingual Model Pre-training—0
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer—0
Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing—0
Specializing Distributional Vectors of All Words for Lexical Entailment—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