Browse State-of-the-Art › Zero-Shot Cross-Lingual Transfer
Zero-Shot Cross-Lingual Transfer
80 papers with code · 2 benchmarks · 4 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| XTREME (25 rows) | Turing ULR v6 | XLM-E: Cross-lingual Language Model Pre-training via ELECTRA | code | — | Compare |
| MaRVL (2 rows) | xUNITER | Visually Grounded Reasoning across Languages and Cultures | code | Syntology ran 0 of 4 samples · 4 unverified | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 80 papers with code (163 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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26 Dec 2018 13 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 4 pointer-only (licence)We introduce an architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts.
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30 Jun 2021 3 repositories listedIn this paper, we introduce ELECTRA-style tasks to cross-lingual language model pre-training.
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14 Oct 2021 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)Both these masks can then be composed with the pretrained model.
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23 Sep 2021 2 repositories listedRecent progress in self-training, self-supervised pretraining and unsupervised learning enabled well performing speech recognition systems without any labeled data.
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1 Jan 2020 2 repositories listedHowever, these broad-coverage benchmarks have been mostly limited to English, and despite an increasing interest in multilingual models, a benchmark that enables the comprehensive evaluation of such methods on a diverse…
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19 Apr 2019 2 repositories listedPretrained contextual representation models (Peters et al., 2018; Devlin et al., 2018) have pushed forward the state-of-the-art on many NLP tasks.
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17 Dec 2024 1 repository listedA large amount of local and culture-specific knowledge (e.
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4 Oct 2024 1 repository listedTableQA models trained on our large-scale datasets outperform state-of-the-art LLMs.
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1 Oct 2024 1 repository listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)In this study, we propose Cross-Lingual Back-Parsing (CBP), a novel data augmentation methodology designed to enhance cross-lingual transfer for SP.
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23 Jul 2024 1 repository listed Syntology ran 4 of 9 samples · 5 unverified · 9 pointer-only (licence)In this paper, we propose PreAlign, a framework that establishes multilingual alignment prior to language model pretraining.
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18 Jun 2024 1 repository listedRapidly growing numbers of multilingual news consumers pose an increasing challenge to news recommender systems in terms of providing customized recommendations.
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25 Apr 2024 1 repository listedIn this paper, we present a novel framework called "Lexicon-Syntax Enhanced Multilingual BERT" that combines both lexical and syntactic knowledge.
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3 Apr 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)Zero-Shot Cross-lingual Transfer (ZS-XLT) utilizes a model trained in a source language to make predictions in another language, often with a performance loss.
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1 Apr 2024 1 repository listedThis paper presents our system developed for the SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages.
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29 Mar 2024 1 repository listedThe capacity and effectiveness of pre-trained multilingual models (MLMs) for zero-shot cross-lingual transfer is well established.
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5 Feb 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverifiedTherefore, it is common to exploit translation and label projection to further improve the performance by (1) translating training data that is available in a high-resource language (e.
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31 Jan 2024 1 repository listedModular deep learning has been proposed for the efficient adaption of pre-trained models to new tasks, domains and languages.
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29 Jan 2024 1 repository listedHowever, most previous studies primarily focused on sentence-level classification tasks, and only a few considered token-level labeling tasks such as Named Entity Recognition (NER) and Part-of-Speech (POS) tagging.
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11 Jan 2024 1 repository listed Syntology ran 7 of 8 samples · 1 unverified · 8 pointer-only (licence)While these results are promising, follow-up works found that, within the multilingual embedding spaces, there exists strong language identity information which hinders the expression of linguistic factors shared across…
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25 Oct 2023 1 repository listedWe posit that for more effective cross-lingual transfer, instead of just one source LA, we need to leverage LAs of multiple (linguistically or geographically related) source languages, both at train and test-time -…
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16 Oct 2023 1 repository listedBecause of this, model selection based on source-language validation is unreliable: it picks model snapshots with suboptimal target-language performance.
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5 Oct 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedWe propose Trust Region Aware Minimization (TRAM), a SAM algorithm fine-tuning for low parameter sharpness and smooth, informative representations preserving pre-trained structure.
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16 Sep 2023 1 repository listed Syntology ran 10 of 15 samples · 5 unverified · 15 pointer-only (licence)Label projection, which involves obtaining translated labels and texts jointly, is essential for leveraging machine translation to facilitate cross-lingual transfer in structured prediction tasks.
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15 Jul 2023 1 repository listedWe conduct comprehensive experiments on diverse cross-lingual language understanding tasks (sentiment classification, paraphrase identification, and natural language inference) and empirically analyze the variation…
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7 Jun 2023 1 repository listedThis paper proposes Allophant, a multilingual phoneme recognizer.
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2 Jun 2023 1 repository listedSpecifically, we use a two-phase distillation approach, termed BiStil: (i) the first phase distils a general bilingual model from the MMT, while (ii) the second, task-specific phase sparsely fine-tunes the bilingual…
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25 May 2023 1 repository listedHowever, less work has been done on multilingual text simplification due to the lack of a diverse evaluation benchmark that covers complex-simple sentence pairs in many languages.
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23 May 2023 1 repository listedRecent multilingual pretrained language models (mPLMs) have been shown to encode strong language-specific signals, which are not explicitly provided during pretraining.
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23 May 2023 1 repository listedLarge language models (LLMs) combined with instruction tuning have shown significant progress in information extraction (IE) tasks, exhibiting strong generalization capabilities to unseen datasets by following…
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21 Dec 2022 1 repository listedWe demonstrate that the distance between the distributions of different languages is highly consistent with the syntactic difference in terms of linguistic formalisms.
Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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