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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 31–40 of 782 papers

Title	Date	Tasks	Status	Hype
Machine-Created Universal Language for Cross-lingual Transfer	May 22, 2023	Cross-Lingual Transfer	CodeCode Available	1
ScandEval: A Benchmark for Scandinavian Natural Language Processing	Apr 3, 2023	BenchmarkingCross-Lingual Transfer	CodeCode Available	1
Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM	Mar 3, 2023	Cross-Lingual TransferLanguage Modeling	CodeCode Available	1
Frustratingly Easy Label Projection for Cross-lingual Transfer	Nov 28, 2022	Cross-Lingual NERCross-Lingual Transfer	CodeCode Available	1
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training	Nov 15, 2022	Cross-Lingual TransferPOS	CodeCode Available	1
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost	Nov 13, 2022	Cross-Lingual Transfer	CodeCode Available	1
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models	Oct 22, 2022	Cross-Lingual TransferNatural Language Understanding	CodeCode Available	1
On the Calibration of Massively Multilingual Language Models	Oct 21, 2022	Cross-Lingual Transfer	CodeCode Available	1
An Empirical Study on Cross-X Transfer for Legal Judgment Prediction	Sep 25, 2022	Cross-Lingual TransferTransfer Learning	CodeCode Available	1
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval	Sep 5, 2022	Cross-lingual Fact-checkingCross-Lingual Information Retrieval	CodeCode Available	1

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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