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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 – 8 of 8 1 Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation ... Chen, Liang; Xu, Runxin; Chang, Baobao. - : arXiv, 2022 BASE Show details 2 StableMoE: Stable Routing Strategy for Mixture of Experts ... Dai, Damai; Dong, Li; Ma, Shuming; Zheng, Bo; Sui, Zhifang; Chang, Baobao; Wei, Furu. - : arXiv, 2022 Abstract: The Mixture-of-Experts (MoE) technique can scale up the model size of Transformers with an affordable computational overhead. We point out that existing learning-to-route MoE methods suffer from the routing fluctuation issue, i.e., the target expert of the same input may change along with training, but only one expert will be activated for the input during inference. The routing fluctuation tends to harm sample efficiency because the same input updates different experts but only one is finally used. In this paper, we propose StableMoE with two training stages to address the routing fluctuation problem. In the first training stage, we learn a balanced and cohesive routing strategy and distill it into a lightweight router decoupled from the backbone model. In the second training stage, we utilize the distilled router to determine the token-to-expert assignment and freeze it for a stable routing strategy. We validate our method on language modeling and multilingual machine translation. The results show that ... : ACL-2022 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/2204.08396 https://dx.doi.org/10.48550/arxiv.2204.08396 BASE Hide details 3 Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chang, Baobao; Huang, Fei. - : Underline Science Inc., 2021 BASE Show details 4 Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chang, Baobao; Li, Lei. - : Underline Science Inc., 2021 BASE Show details 5 Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chang, Baobao; Dai, Damai. - : Underline Science Inc., 2021 BASE Show details 6 Incorporating Glosses into Neural Word Sense Disambiguation ... Luo, Fuli; Liu, Tianyu; Xia, Qiaolin. - : arXiv, 2018 BASE Show details 7 Chinese-English Parallel Corpus Construction and its Application Chang Baobao In: http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/583/1/interactive-9.pdf (2004) BASE Show details 8 Translation and information technology Zhang, Huarui (Mitarb.); Yu, Shiwen (Mitarb.); Jernudd, Björn H. (Mitarb.). - Hong Kong : Chinese Univ. Press, 2002 BLLDB UB Frankfurt Linguistik Show details

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