🏢 Works of Microsoft Research Asia41 works · page 1 of 2 · the most cited first · ← Microsoft Research Asia1 2 next →Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsZe Liu, Yutong Lin, Yue Cao, et al.2021 · 33 826 citationsA Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3 640 citationsCodeBERT: A Pre-Trained Model for Programming and Natural LanguagesZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2 954 citationsAttention-based LSTM for Aspect-level Sentiment ClassificationYequan Wang, Minlie Huang, Xiaoyan Zhu, et al.2016 · 2 609 citationsbrat: a Web-based Tool for NLP-Assisted Text AnnotationPontus Stenetorp, Sampo Pyysalo, Goran Topić, et al.2012 · 1 368 citationsLayoutLM: Pre-training of Text and Layout for Document Image UnderstandingYiheng Xu, Minghao Li, Lei Cui, et al.2019 · 889 citationsGated Self-Matching Networks for Reading Comprehension and Question AnsweringWenhui Wang, Nan Yang, Furu Wei, et al.2017 · 823 citationsLayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingYupan Huang, Tengchao Lv, Lei Cui, et al.2022 · 774 citationsUniXcoder: Unified Cross-Modal Pre-training for Code RepresentationDaya Guo, Shuai Lu, Nan Duan, et al.2022 · 768 citationsK-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersRuize Wang, Duyu Tang, Nan Duan, et al.2020 · 662 citationsSequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based ChatbotsYu Wu, Wei Wu, Chen Xing, et al.2017 · 624 citationsLayoutLMv2: Multi-modal Pre-training for Visually-rich Document UnderstandingYang Xu, Yiheng Xu, Tengchao Lv, et al.2021 · 623 citationsProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 451 citationsHIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document SummarizationXingxing Zhang, Furu Wei, Ming Zhou2019 · 446 citationsNeural Document Summarization by Jointly Learning to Score and Select SentencesQingyu Zhou, Nan Yang, Furu Wei, et al.2018 · 446 citationsRecognizing Named Entities in TweetsXiaohua Liu, Shaodian Zhang, Furu Wei, et al.2011 · 435 citationsTemplate-Based Named Entity Recognition Using BARTLeyang Cui, Yu Wu, Jian Liu, et al.2021 · 420 citationsCMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 384 citationsQuery Rewriting in Retrieval-Augmented Large Language ModelsXinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 383 citationsEnhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyZhihong Shao, Yeyun Gong, Yelong Shen, et al.2023 · 381 citationsQuestion Generation for Question AnsweringNan Duan, Duyu Tang, Peng Chen, et al.2017 · 370 citationsGraphCodeBERT: Pre-training Code Representations with Data FlowDaya Guo, Shuo Ren, Shuai Lu, et al.2021 · 328 citationsCRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingZhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 315 citationsVisual ChatGPT: Talking, Drawing and Editing with Visual Foundation ModelsChenfei Wu, Shengming Yin, Weizhen Qi, et al.2023 · 315 citationsPromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsKaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 301 citations1 2 next →↑ back to topThis page in Markdown → https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/works/