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Zhongyu Wei

6 أوراق في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining

    2023

    Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

  2. Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education

    2024 · IEEE Transactions on Visualization and Computer Graphics

    Large Language Models (LLMs) have shown great potential in intelligent visualization systems, especially for domain-specific applications. Integrating LLMs into visualization systems presents challenges, and we categorize these challenges into three alignments: domain problems with LLMs, …

  3. Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM

    2024

    How can we construct an automated debate judge to evaluate an extensive, vibrant, multiturn debate?This task is challenging, as judging a debate involves grappling with lengthy texts, intricate argument relationships, and multi-dimensional assessments.At the same …

  4. Task-oriented Dialogue System for Automatic Diagnosis

    2018

    Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuanjing Huang, Kam-fai Wong, Xiangying Dai. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2018.

  5. A Lexicon-Based Graph Neural Network for Chinese NER

    2019

    Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language …

  6. K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

    2021

    We study the problem of injecting knowledge into large pre-trained models like BERT and RoBERTa. Existing methods typically update the original parameters of pre-trained models when injecting knowledge. However, when multiple kinds of knowledge are …