System Development & Application
|
App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 1
212-216

Question answering model based on self-distillation and self-ensemble

Wang Tongjie
Li Ye
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2023.05.0281

Abstract

Knowledge distillation combined with pre-trained language models is one of the primary methods for constructing question-answering models. However, these methods suffer from inefficiencies in knowledge transfer, time-consuming teacher model training, and mismatched capabilities between teacher and student models. To address these issues, this paper proposed a question-answering model based on self-distillation and self-ensemble, named SD-SE-BERT. The self-ensemble mechanism was designed based on a sliding window; the student model used BERT; the teacher model was derived from a weighted average combination of several student models during the training process, based on their performance on the validation set. The loss function used the output of the ensemble and the true labels to guide the training of the student model in the current round. Experimental results on the SQuAD1.1 dataset show that the EM and F1 scores of SD-SE-BERT are respectively 7.5 and 4.9 higher than those of the BERT model, and the model's performance surpasses other representative single models and distillation models. Compared to the fine-tuning results of the large-scale language model ChatGLM-6B, the EM score was improved by 4.5, and the F1 score by 2.5. It proves that SD-SE-BERT can leverage the model's supervision information to enhance the model's capacity to combine different text data features, eliminating the need for complex teacher-model training and avoiding the problem of mismatch between teacher and student models.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0281
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: System Development & Application
Pages: 212-216
Serial Number: 1001-3695(2024)01-032-0212-05

Publish History

[2023-10-07] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

王同结, 李烨. 基于自蒸馏与自集成的问答模型 [J]. 计算机应用研究, 2024, 41 (1): 212-216. (Wang Tongjie, Li Ye. Question answering model based on self-distillation and self-ensemble [J]. Application Research of Computers, 2024, 41 (1): 212-216. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)