Search Results - "Zhou, Pingyi"
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Scalable tag recommendation for software information sites
Published in 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) (01-02-2017)“…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 -
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Is deep learning better than traditional approaches in tag recommendation for software information sites?
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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Effect of modified coal tar pitch addition on the microstructure and properties of Al2O3–SiC–C castables for solid waste incinerators
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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4
FastTagRec: fast tag recommendation for software information sites
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 -
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Effect of firing atmosphere on the microstructure and properties of Al2O3–SiC–C castables
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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Effect of Carbon Black Content and Firing Atmosphere on the Properties and Microstructure of Al2O3-SiC-C Castables
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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7
History, Present and Future: Enhancing Dialogue Generation with Few-Shot History-Future Prompt
Published in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (04-06-2023)“…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 -
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Automatically Constructing of Association Semantic Link Enabled Subject Cognitive Mapping
Published in 2015 International Conference on Identification, Information, and Knowledge in the Internet of Things (IIKI) (01-10-2015)“…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 -
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Automatically constructing course dependence graph based on association semantic link model
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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10
Extending Context Window of Large Language Models via Semantic Compression
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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XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference
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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MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion
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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CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training
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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Compilable Neural Code Generation with Compiler Feedback
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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Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation
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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SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation
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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PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing
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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PanGu-Coder: Program Synthesis with Function-Level Language Modeling
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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Preparation, characterization and hydrodesulfurization performances of Co-Ni_2P/SBA- 15 catalysts
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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