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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 Pathologies of Pre-trained Language Models in Few-shot Fine-tuning ... Chen, Hanjie; Zheng, Guoqing; Awadallah, Ahmed Hassan. - : arXiv, 2022 BASE Show details 2 MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning ... Xia, Mengzhou; Zheng, Guoqing; Mukherjee, Subhabrata. - : arXiv, 2021 BASE Show details 3 A Dataset and Baselines for Multilingual Reply Suggestion ... Zhang, Mozhi; Wang, Wei; Deb, Budhaditya. - : arXiv, 2021 BASE Show details 4 A Conditional Generative Matching Model for Multi-lingual Reply Suggestion ... Deb, Budhaditya; Zheng, Guoqing; Shokouhi, Milad; Awadallah, Ahmed Hassan. - : arXiv, 2021 Abstract: We study the problem of multilingual automated reply suggestions (RS) model serving many languages simultaneously. Multilingual models are often challenged by model capacity and severe data distribution skew across languages. While prior works largely focus on monolingual models, we propose Conditional Generative Matching models (CGM), optimized within a Variational Autoencoder framework to address challenges arising from multi-lingual RS. CGM does so with expressive message conditional priors, mixture densities to enhance multi-lingual data representation, latent alignment for language discrimination, and effective variational optimization techniques for training multi-lingual RS. The enhancements result in performance that exceed competitive baselines in relevance (ROUGE score) by more than 10\% on average, and 16\% for low resource languages. CGM also shows remarkable improvements in diversity (80\%) illustrating its expressiveness in representation of multi-lingual data. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2109.07046 https://dx.doi.org/10.48550/arxiv.2109.07046 BASE Hide details 5 XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation ... Mukherjee, Subhabrata; Awadallah, Ahmed Hassan; Gao, Jianfeng. - : arXiv, 2021 BASE Show details 6 Say `YES' to Positivity: Detecting Toxic Language in Workplace Communications ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Awadallah, Ahmed; Bennett, Paul. - : Underline Science Inc., 2021 BASE Show details 7 A Conditional Generative Matching Model for Multi-lingual Reply Suggestion ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Awadallah, Ahmed; Deb, Budhaditya. - : Underline Science Inc., 2021 BASE Show details 8 Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ... Zhao, Jieyu; Mukherjee, Subhabrata; Hosseini, Saghar. - : arXiv, 2020 BASE Show details 9 XtremeDistil: Multi-stage Distillation for Massive Multilingual Models ... Mukherjee, Subhabrata; Awadallah, Ahmed. - : arXiv, 2020 BASE Show details 10 Smart To-Do : Automatic Generation of To-Do Items from Emails ... Mukherjee, Sudipto; Mukherjee, Subhabrata; Hasegawa, Marcello. - : arXiv, 2020 BASE Show details 11 Distilling BERT into Simple Neural Networks with Unlabeled Transfer Data ... Mukherjee, Subhabrata; Awadallah, Ahmed Hassan. - : arXiv, 2019 BASE Show details 12 Multi-Source Cross-Lingual Model Transfer: Learning What to Share ... Chen, Xilun; Awadallah, Ahmed Hassan; Hassan, Hany. - : arXiv, 2018 BASE Show details 13 Identifying Roles in Social Networks using Linguistic Analysis. Awadallah, Ahmed Mohammed Hassan BASE Show details

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