Search Results - "Zhou, Pingyi"

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  1. 1

    Scalable tag recommendation for software information sites by Pingyi Zhou, Jin Liu, Zijiang Yang, Guangyou Zhou

    “…Software developers can search, share and learn development experience, solutions, bug fixes and open source projects in software information sites such as…”
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    Conference Proceeding
  2. 2

    Is deep learning better than traditional approaches in tag recommendation for software information sites? by Zhou, Pingyi, Liu, Jin, Liu, Xiao, Yang, Zijiang, Grundy, John

    Published in Information and software technology (01-05-2019)
    “…Inspired by the success of deep learning in other domains, this new technique been gaining widespread recent interest in being applied to diverse data analysis…”
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    Journal Article
  3. 3

    Effect of modified coal tar pitch addition on the microstructure and properties of Al2O3–SiC–C castables for solid waste incinerators by Wang, Shijie, Zhou, Pingyi, Liu, Xin, Cui, Junyan, Liu, Xinhong, Zhang, Shaowei, Jia, Quanli

    Published in Ceramics international (15-07-2022)
    “…Al2O3–SiC–C (ASC) castables were performed using brown alumina, SiC, ultrafine α-Al2O3, microsilica, Si powder, calcium aluminate cement and modified coal tar…”
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    Journal Article
  4. 4

    FastTagRec: fast tag recommendation for software information sites by Liu, Jin, Zhou, Pingyi, Yang, Zijiang, Liu, Xiao, Grundy, John

    Published in Automated software engineering (01-12-2018)
    “…Software information sites such as StackOverflow and Freeecode enable information sharing and communication for developers around the world. To facilitate…”
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    Journal Article
  5. 5

    Effect of firing atmosphere on the microstructure and properties of Al2O3–SiC–C castables by Zhou, Pingyi, Qiu, Xin, Luo, Zhongtao, Liu, Xinhong, Zhang, Shaowei, Jia, Quanli

    Published in Ceramics international (15-05-2021)
    “…Al2O3–SiC–C (ASC) castables were performed using brown fused alumina as aggregates, silicon carbide, white fused alumina, ultrafine α-Al2O3, microsilica,…”
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    Journal Article
  6. 6

    Effect of Carbon Black Content and Firing Atmosphere on the Properties and Microstructure of Al2O3-SiC-C Castables by Jia, Quanli, Chen, Jing, He, Mantang, Sang, Mengyang, Zhou, Pingyi, Ma, Haoxuan

    Published in Materials (12-11-2024)
    “…Al2O3-SiC-C (ASC) castables containing spherical asphalt are widely utilized in high-temperature metallurgical furnaces because of their good abrasive…”
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    Journal Article
  7. 7

    History, Present and Future: Enhancing Dialogue Generation with Few-Shot History-Future Prompt by Wang, Yihe, Li, Yitong, Wang, Yasheng, Mi, Fei, Zhou, Pingyi, Liu, Jin, Jiang, Xin, Liu, Qun

    “…Dialogue history and response in open-domain dialogue are loosely coupled. Generating informative responses solely based on the original dialogue history is…”
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    Conference Proceeding
  8. 8

    Automatically Constructing of Association Semantic Link Enabled Subject Cognitive Mapping by Pingyi Zhou, Jin Liu, Xianzhao Yang, Xu Chen, Shunxiang Zhang

    “…Knowledge service such as the subject cognitive mapping plays an important role in effective online subject learning, skill training and subject resource…”
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    Conference Proceeding
  9. 9

    Automatically constructing course dependence graph based on association semantic link model by Zhou, Pingyi, Liu, Jin, Yang, Xianzhao, Cui, Xiaohui, Chang, Liang, Zhang, Shunxiang

    Published in Personal and ubiquitous computing (01-10-2016)
    “…Course dependence graph of subject can provide an important reference model for the automatic arrangement for subject teaching plan, effective online subject…”
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    Journal Article
  10. 10

    Extending Context Window of Large Language Models via Semantic Compression by Fei, Weizhi, Niu, Xueyan, Zhou, Pingyi, Hou, Lu, Bai, Bo, Deng, Lei, Han, Wei

    Published 15-12-2023
    “…Transformer-based Large Language Models (LLMs) often impose limitations on the length of the text input to ensure the generation of fluent and relevant…”
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    Journal Article
  11. 11

    XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference by Wang, Shengnan, Bai, Youhui, Zhang, Lin, Zhou, Pingyi, Zhao, Shixiong, Zhang, Gong, Wang, Sen, Chen, Renhai, Xu, Hua, Sun, Hongwei

    Published 27-05-2024
    “…Length generalization failure problem, namely the large language model (LLM) fails to generalize to texts longer than its maximum training length, greatly…”
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    Journal Article
  12. 12

    MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion by Gong, Zi, Guo, Yinpeng, Zhou, Pingyi, Gao, Cuiyun, Wang, Yasheng, Xu, Zenglin

    Published 19-12-2022
    “…Code completion is a valuable topic in both academia and industry. Recently, large-scale mono-programming-lingual (MonoPL) pre-training models have been…”
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    Journal Article
  13. 13

    CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training by Wang, Xin, Wang, Yasheng, Wan, Yao, Wang, Jiawei, Zhou, Pingyi, Li, Li, Wu, Hao, Liu, Jin

    Published 04-05-2022
    “…Recent years have witnessed increasing interest in code representation learning, which aims to represent the semantics of source code into distributed vectors…”
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    Journal Article
  14. 14

    Compilable Neural Code Generation with Compiler Feedback by Wang, Xin, Wang, Yasheng, Wan, Yao, Mi, Fei, Li, Yitong, Zhou, Pingyi, Liu, Jin, Wu, Hao, Jiang, Xin, Liu, Qun

    Published 09-03-2022
    “…Automatically generating compilable programs with (or without) natural language descriptions has always been a touchstone problem for computational linguistics…”
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    Journal Article
  15. 15

    Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation by Wang, Yihe, Li, Yitong, Wang, Yasheng, Mi, Fei, Zhou, Pingyi, Wang, Xin, Liu, Jin, Jiang, Xin, Liu, Qun

    Published 27-01-2022
    “…Real human conversation data are complicated, heterogeneous, and noisy, from which building open-domain dialogue systems remains a challenging task. In fact,…”
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    Journal Article
  16. 16

    SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation by Wang, Xin, Wang, Yasheng, Mi, Fei, Zhou, Pingyi, Wan, Yao, Liu, Xiao, Li, Li, Wu, Hao, Liu, Jin, Jiang, Xin

    Published 10-08-2021
    “…Code representation learning, which aims to encode the semantics of source code into distributed vectors, plays an important role in recent deep-learning-based…”
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    Journal Article
  17. 17

    PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing by Ren, Xiaozhe, Zhou, Pingyi, Meng, Xinfan, Huang, Xinjing, Wang, Yadao, Wang, Weichao, Li, Pengfei, Zhang, Xiaoda, Podolskiy, Alexander, Arshinov, Grigory, Bout, Andrey, Piontkovskaya, Irina, Wei, Jiansheng, Jiang, Xin, Su, Teng, Liu, Qun, Yao, Jun

    Published 19-03-2023
    “…The scaling of large language models has greatly improved natural language understanding, generation, and reasoning. In this work, we develop a system that…”
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    Journal Article
  18. 18

    PanGu-Coder: Program Synthesis with Function-Level Language Modeling by Christopoulou, Fenia, Lampouras, Gerasimos, Gritta, Milan, Zhang, Guchun, Guo, Yinpeng, Li, Zhongqi, Zhang, Qi, Xiao, Meng, Shen, Bo, Li, Lin, Yu, Hao, Yan, Li, Zhou, Pingyi, Wang, Xin, Ma, Yuchi, Iacobacci, Ignacio, Wang, Yasheng, Liang, Guangtai, Wei, Jiansheng, Jiang, Xin, Wang, Qianxiang, Liu, Qun

    Published 22-07-2022
    “…We present PanGu-Coder, a pretrained decoder-only language model adopting the PanGu-Alpha architecture for text-to-code generation, i.e. the synthesis of…”
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    Journal Article
  19. 19

    Preparation, characterization and hydrodesulfurization performances of Co-Ni_2P/SBA- 15 catalysts by Zhou-jun Wang Pingyi Wu Ling Lan Kunhong Liu Yaqiong Hu Shengfu Jia

    Published in 能源化学:英文版 (2015)
    “…A series of Co-Ni_2P/SBA-15 catalysts with various Co contents, Ni_2P contents and P/Ni molar ratios were prepared by impregnating nickel nitrate, diammonium…”
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    Journal Article