覃立波

特聘教授

所在单位:计算机学院

学历:博士研究生毕业

性别:男

联系方式:lbqin@csu.edu.cn

学位:博士学位

在职信息:在职

毕业院校:哈尔滨工业大学

   

个人简介

    覃立波,男,中南大学特聘教授,小米青年学者,师从车万翔教授。主要研究兴趣为人工智能、自然语言处理、人机对话、大模型等,在人工智能及自然语言处理等领域国际会议ACL、EMNLP、AAAI、IJCAI上发表论文多篇。研究成果曾入选Paper Digest高影响力论文获得世界人工智能大会青年优秀论文提名和EMNLP2022 MMNLU Workshop最佳论文奖。担任IJCAI、EMNLP、NAACL、ACL Rolling Review等国际会议领域主席或高级程序委员会委员。


【招生信息】欢迎对人工智能、自然语言处理、人机对话、大模型等方向感兴趣,自驱力强、积极主动,致力于科研的同学联系。(表现优异的同学可以帮助推荐至腾讯百度阿里巴巴、华为等企业实习,其中有意出国读博的同学可以帮助推荐至新加坡美国加拿大等知名学校)

【联系方式】lbqin[AT]csu.edu.cn。


报告(部分)


[1] 浅谈论文调研与研究方法

[2] 对话语言理解前沿进展报告

[3] 基于迁移学习的任务型对话系统


部分发表论文(全部列表


[1] Libo Qin*, Qiguang Chen*, Fuxuan Wei, Shijue Huang, Wanxiang Che; Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP2023, CAAI/TH-CPL A)

[2] Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li;End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions (EMNLP2023, CAAI/TH-CPL A)

[3] Libo Qin, Weiyun Wang, Qiguang Chen, Wanxiang Che; CLIPText: A New Paradigm for Zero-shot Text Classification Findings of Association for Computational Linguistic (ACL2023 Findings

[4] Libo Qin, Xiao Xu, Lehan Wang, Yue Zhang, Wanxiang Che; Modularized Pre-training for End-to-end Task-oriented Dialogue. IEEE Transactions on Audio, Speech, and Language Processing. (TASLP2023, 中科院一区)

[5] Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan ; GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding, Association for Computational Linguistics (ACL2022, CCF A)

[6] Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu, Wanxiang Che, Ting Liu; GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling, Association for Computational Linguistics (ACL2021, CCF A)

[7] Libo Qin, Tianbao Xie, Shijue Huang, Qiguang Chen, Xiao Xu, Wanxiang Che. Don’t be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021, CAAI/TH-CPL A)

[8] Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu; Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog, Association for Computational Linguistics (ACL2020, CCF A)

[9] Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che; CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP. International Joint Conference on Artificial Intelligence (IJCAI2020, CCF A)

[10] Libo Qin, Wanxiang Che, Yangming Li, Mingheng Ni, Ting Liu; DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification, Association for the Advancement of Artificial Intelligence  (AAAI2020, CCF A)