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 451–500 of 782 papers

TitleStatusHype
A Survey of Multilingual Models for Automatic Speech Recognition—0
Oolong: Investigating What Makes Transfer Learning Hard with Controlled StudiesCode0
Enhancing Cross-lingual Prompting with Dual Prompt AugmentationCode0
Surprisingly Simple Adapter Ensembling for Zero-Shot Cross-Lingual Sequence Tagging—0
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking—0
BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer—0
Frustratingly Simple Regularization to Improve Zero-shot Cross-lingual Robustness—0
An Empirical Study on Cross-Lingual and Cross-Domain Transfer for Legal Judgment Prediction—0
Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification—0
When More is not Necessary Better: Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection Models—0
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank—0
One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
On Cross-Lingual Retrieval with Multilingual Text EncodersCode0
Enhancing Cross-lingual Prompting with Two-level Augmentation—0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU—0
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer—0
Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian—0
Multi-task pre-finetuning for zero-shot cross lingual transfer—0
Multi-Source Cross-Lingual Constituency Parsing—0
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer ModelsCode0
Composable Sparse Fine-Tuning for Cross-Lingual Transfer—0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
Language-Family Adapters for Multilingual Neural Machine Translation—0
Data-adaptive Transfer Learning for Low-resource Translation: A Case Study in Haitian—0
Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages—0
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning—0
INDICXNLI: A Dataset for Studying NLI in Indic Languages—0
Persian Natural Language Inference: A Meta-learning approach—0
Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR—0
Training Cross-Lingual embeddings for Setswana and SepediCode0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Cross-lingual Transfer for Speech Processing using Acoustic Language SimilarityCode0
Chinese Opinion Role Labeling with Corpus Translation: A Pivot StudyCode0
“Wikily” Supervised Neural Translation Tailored to Cross-Lingual Tasks—0
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic ParsingCode0
UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role LabelingCode0
Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning—0
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport—0
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling—0
Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing—0
Limitations of Knowledge Distillation for Zero-shot Transfer Learning—0
MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer—0
Sequence Mixup for Zero-Shot Cross-Lingual Part-Of-Speech Tagging—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Cross-lingual Constituency Parsing with Linguistic Typology Knowledge—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