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 131–140 of 782 papers

Title	Date	Tasks	Status	Score
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging	May 26, 2023	Cross-Lingual TransferModel Selection	CodeCode Available	5
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages	Dec 17, 2024	Cross-Lingual Information RetrievalCross-Lingual Transfer	CodeCode Available	5
CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding	Mar 18, 2022	Cross-Lingual TransferNatural Language Understanding	CodeCode Available	5
Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations	Apr 3, 2024	Cross-Lingual Transfertext-classification	CodeCode Available	5
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning	Oct 18, 2022	Cross-Lingual Transfertext-classification	CodeCode Available	5
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling	Apr 11, 2021	ClassificationCross-Lingual Transfer	CodeCode Available	5
Contextual Label Projection for Cross-Lingual Structured Prediction	Sep 16, 2023	Cross-Lingual TransferEvent Argument Extraction	CodeCode Available	5
Constrained Decoding for Cross-lingual Label Projection	Feb 5, 2024	Cross-Lingual TransferEvent Argument Extraction	CodeCode Available	5
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations	Sep 10, 2021	Cross-Lingual TransferRetrieval	CodeCode Available	5
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT	Jan 26, 2021	Cross-Lingual TransferLanguage Modeling	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PaLM 2 (few-shot)	Accuracy	94.4	—	Unverified
2	mT0-13B	Accuracy	84.45	—	Unverified
3	RoBERTa Large (translate test)	Accuracy	76.05	—	Unverified
4	BLOOMZ	Accuracy	75.5	—	Unverified
5	MAD-X Base	Accuracy	60.94	—	Unverified
6	mGPT	Accuracy	55.5	—	Unverified