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The State of Multilingual AI

Sebastian Ruder

Initiatives   The Association for Computational Linguistics (ACL) has emphasized the importance of language diversity, with a special theme track at the main ACL 2022 conference on this topic. 2020) (Ahia et al., The size of the gradient circle represents the number of languages in the class.

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All Languages Are NOT Created (Tokenized) Equal

Topbots

70% of research papers published in a computational linguistics conference only evaluated English.[ In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland. Association for Computational Linguistics. Association for Computational Linguistics.

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Reward Isn't Free: Supervising Robot Learning with Language and Video from the Web

The Stanford AI Lab Blog

Conference of the North American Chapter of the Association for Computational Linguistics. ↩ Devlin, J., Annual Meeting of the Association for Computational Linguistics. ↩ Brown et al. IEEE International Conference on Computer Vision and Pattern Recognition. ↩ Radford, A., Neumann, M.,

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Overcoming The Limitations Of Large Language Models

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In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. Association for Computational Linguistics. [2] Association for Computational Linguistics. [4] References [1] Emily M. Bender and Alexander Koller. 4] Ryan Daws. 5] DeepMind.

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ML and NLP Research Highlights of 2021

Sebastian Ruder

In computer vision, supervised pre-trained models such as Vision Transformer [2] have been scaled up [3] and self-supervised pre-trained models have started to match their performance [4]. Advances in Neural Information Processing Systems, 2020. In Proceedings of ICLR 2020. In Proceedings of NeurIPS 2020.

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Selective Classification Can Magnify Disparities Across Groups

The Stanford AI Lab Blog

In Proceedings of the IEEE International Conference on Computer Vision, pp. In Association for Computational Linguistics (ACL), pp. In International Conference on Machine Learning (ICML), 2020. ↩ Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, and Christopher Ré. 151–159, 2020. ↩ C.