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Observation of new excited ${B} ^0_{s} $ states
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. ⟨10.1140/epjc/s10052-021-09305-3⟩ (2021)
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End-to-end Speech Translation via Cross-modal Progressive Training ...
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Locate then Segment: A Strong Pipeline for Referring Image Segmentation ...
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Learning Language Specific Sub-network for Multilingual Machine Translation ...
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Contrastive Learning for Many-to-many Multilingual Neural Machine Translation ...
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Multilingual Translation via Grafting Pre-trained Language Models ...
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Counter-Interference Adapter for Multilingual Machine Translation ...
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Abstract:
Developing a unified multilingual model has long been a pursuit for machine translation. However, existing approaches suffer from performance degradation -- a single multilingual model is inferior to separately trained bilingual ones on rich-resource languages. We conjecture that such a phenomenon is due to interference caused by joint training with multiple languages. To accommodate the issue, we propose CIAT, an adapted Transformer model with a small parameter overhead for multilingual machine translation. We evaluate CIAT on multiple benchmark datasets, including IWSLT, OPUS-100, and WMT. Experiments show that CIAT consistently outperforms strong multilingual baselines on 64 of total 66 language directions, 42 of which see above 0.5 BLEU improvement. Our code is available at \url{https://github.com/Yaoming95/CIAT}~. ... : 12 pages, accepted by EMNLP'21 Findings ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2104.08154 https://arxiv.org/abs/2104.08154
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MTG: A Benchmarking Suite for Multilingual Text Generation ...
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Language Tags Matter for Zero-Shot Neural Machine Translation ...
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Personalized Transformer for Explainable Recommendation ...
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Dynamic Knowledge Distillation for Pre-trained Language Models ...
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Learning Shared Semantic Space for Speech-to-Text Translation ...
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Glancing Transformer for Non-Autoregressive Neural Machine Translation ...
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Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification ...
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Probabilistic Graph Reasoning for Natural Proof Generation ...
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Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker ...
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Multilingual Translation via Grafting Pre-trained Language Models ...
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Language Tags Matter for Zero-Shot Neural Machine Translation ...
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