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1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages ...
Abstract: Reliable evaluation benchmarks designed for replicability and comprehensiveness have driven progress in machine learning. Due to the lack of a multilingual benchmark, however, vision-and-language research has mostly focused on English language tasks. To fill this gap, we introduce the Image-Grounded Language Understanding Evaluation benchmark. IGLUE brings together - by both aggregating pre-existing datasets and creating new ones - visual question answering, cross-modal retrieval, grounded reasoning, and grounded entailment tasks across 20 diverse languages. Our benchmark enables the evaluation of multilingual multimodal models for transfer learning, not only in a zero-shot setting, but also in newly defined few-shot learning setups. Based on the evaluation of the available state-of-the-art models, we find that translate-test transfer is superior to zero-shot transfer and that few-shot learning is hard to harness for many tasks. Moreover, downstream performance is partially explained by the amount of ...
Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2201.11732
https://arxiv.org/abs/2201.11732
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2
Improving Word Translation via Two-Stage Contrastive Learning ...
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3
Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
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4
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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5
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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6
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
Liu, Qianchu; Liu, Fangyu; Collier, Nigel. - : Apollo - University of Cambridge Repository, 2021
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7
Visually Grounded Reasoning across Languages and Cultures ...
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8
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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9
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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10
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
Liu, Fangyu; Vulić, I; Korhonen, Anna-Leena. - : Apollo - University of Cambridge Repository, 2021
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11
Visually Grounded Reasoning across Languages and Cultures ...
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12
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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13
Visually Grounded Reasoning across Languages and Cultures ...
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14
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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15
Self-Alignment Pretraining for Biomedical Entity Representations
Liu, Fangyu; Shareghi, Ehsan; Meng, Zaiqiao. - : Association for Computational Linguistics, 2021. : Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
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16
Upgrading the Newsroom: An Automated Image Selection System for News Articles ...
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17
Upgrading the Newsroom: An Automated Image Selection System for News Articles
In: http://infoscience.epfl.ch/record/280322 (2020)
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