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 676–700 of 782 papers

TitleStatusHype
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization—0
Jointly Learning to Embed and Predict with Multiple Languages—0
JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages—0
Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks—0
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization—0
Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models—0
Language Contamination Helps Explain the Cross-lingual Capabilities of English Pretrained Models—0
Language-Family Adapters for Multilingual Neural Machine Translation—0
Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation—0
Language-independent Cross-lingual Contextual Representations—0
Language Scaling for Universal Suggested Replies Model—0
Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer—0
Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer—0
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models—0
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport—0
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning—0
Learning Invariant Representations on Multilingual Language Models for Unsupervised Cross-Lingual Transfer—0
Learning Monolingual Compositional Representations via Bilingual Supervision—0
Learning to Learn Morphological Inflection for Resource-Poor Languages—0
Learning Transfers over Several Programming Languages—0
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages—0
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding—0
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning—0
LexFit: Lexical Fine-Tuning of Pretrained Language Models—0
Limitations of Knowledge Distillation for Zero-shot Transfer Learning—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