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I am a first-year PhD student at Washington University in St. Louis (WUSTL), luckily advised by Prof. Jiaxin Huang. Before that, I received my Master degree at Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS) in Jul. 2024, where I studied at ICT Natural Language Processing (ICTNLP) group. I received my B.E. degree in Data Science and Big Data Technology from University of International Business and Economics (UIBE) in Jun. 2021. Email: h.langlin [at] wustl.edu [ CV ] | Google Scholar / DBLP / Github |
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My research interests mainly lie in Natural Language Processing and Large Language Models. Particularly, I am interested in:
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[2024/08] My new journey set sail, I will focus on a wide variety of LLM generation-related topics. I will also track the up-to-date research about machine translation and tokenization. [2024/06] One paper about multi-scale contextualization and UTF-8 byte-based model is accepted to ACL 2024! Thanks to all collaborators! [2024/05/21] I successfully defended my dissertation for Master degree! My dissertation name is "A Study of Neural Machine Translation on Multiple Semantic Granularities (基于多语义粒度的神经机器翻译研究)". [2023/10] One paper about semantic-level sentence representation is accepted to EMNLP 2023! Thanks to all collaborators! [2023/06] Our LLM BayLing (百聆) is released! BayLing is an instruction-following LLM with advanced language alignment and multi-turn interaction capability. Read our paper and try our online demo! Thanks to all collaborators! [2022/12] One patent about improving label smoothing in training translation models is published! Check the report here. [2022/07] We won first place in the Chinese-Thai track and second place in the Mongolian-Chinese track in the 18th China Conference on Machine Translation (CCMT 2022)! Thanks to all collaborators! The technical report is accessible to public, check here for Chinese-Thai track and here for Mongolian-Chinese track. [2021/09] I start my M.S. life at University of Chinese Academy of Sciences (UCAS). [2021/06] I obtain my B.E. degree from University of International Business and Economics (UIBE). [2020/06] One paper about automatic construction of depression-domain lexicon is published on JMIR Medical Informatics! Thanks to all collaborators! |
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Langling Huang, Yang Feng ACL 2024 (CCF-A) Paper / Code Langling Huang, Shuhao Gu, Zhuocheng Zhang, Yang Feng EMNLP 2023 (CCF-B) Paper / Code Genghao Li, Bing Li, Langlin Huang, Sibing Hou JMIR Medical Informatics (SCI) Paper |
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Chengsong Huang, Langlin Huang, Jiaxin Huang Paper / Code Langlin Huang, Mengyu Bu, Yang Feng Paper / Code Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, Zhengrui Ma, Yan Zhou, Langlin Huang, Mengyu Bu, Shangtong Gui, Yunji Chen, Xilin Chen, Yang Feng Paper / Code / Demo / Project Page |
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Zhuocheng Zhang, Xuanfu Wu, Langling Huang, Qingkai Fang, Zhengrui Ma, Shangtong Gui, Min Zhang, Yang Feng CCMT 2022 Paper Qingkai Fang, Zhengrui Ma, Shangtong Gui, Zhuocheng Zhang, Xuanfu Wu, Langling Huang, Min Zhang, Yang Feng CCMT 2022 Paper |
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Second Academic Scholarship, at UCAS, Sep. 2023 Outstanding Graduates, at UIBE, Jun. 2021 First Academic Scholarship, at UIBE, 2018, 2019, 2020 Merit Student of UIBE, 2018, 2019, 2020 Honorable Mention of Mathematical Contest In Modeling, Apr. 2020 First Prize of Asia and Pacific Mathematical Contest in Modeling, Jan. 2020 First Prize of Chinese Mathematical Contest In Modeling, Beijing Area, Sep. 2018 |
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Reviewer: ACL Rolling Review, ACL 2023, TALLIP |
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Updated at Nov. 2024
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