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I am now a LLM researcher in Skywork AI, focusing on storytelling in social intelligence, script&novel generation and agents in game&meta. Before that, I recived Ph.D. from Eyas Natural Language Processing Group at the IIE, CAS and UCAS. I am fortunate to be advised by Prof. Yue Hu. Prior to IIE, CAS, I received B.E. in SCST from CUMT.

My academic interests are interdisciplinary, including (1) using computational methods to investigate fundamental cognitive psychological questions and (2) applying findings from cognitive psychology to develop techniques for automatic natural language processing. My long-term goal is to build AI systems that can understand, reason and create about the human mental states of participants in textual narratives, conversations, etc.

Publications

2024

  • SkyScript-100M: 1,000,000,000 Pairs of Scripts and Shooting Scripts for Short Drama
    Jing Tang, Quanlu Jia, Yuqiang Xie*, Zeyu Gong*, Xiang Wen, Jiayi Zhang, Yalong Guo, Guibin Chen, Jiangping Yang
    Preprint in arxiv.
    [Paper] [Code]
  • A Group Fairness Lens for Large Language Models
    Guanqun Bi, Lei Shen, Yuqiang Xie, Yanan Cao, Tiangang Zhu, Xiaodong He
    Preprint in arxiv.
    [Paper]

2023

  • DiffusEmp: A diffusion model-based framework with multi-grained control for empathetic response generation
    Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He
    In ACL 2023 main conference (Oral).
    [Paper] [Code]
  • Learning to know myself: A coarse-to-fine persona-aware training framework for personalized dialogue generation
    Yunpeng Li, Yue Hu, Yajing Sun, Luxi Xing, Ping Guo, Yuqiang Xie, Wei Peng
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2023.
    [Paper]

2022

  • COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities
    Yuqiang Xie, Yue Hu, Wei Peng, Guanqun Bi and Luxi Xing
    In Proceedings of International Conference on Computational Linguistics (COLING), 2022.
    [Paper] [Code]
  • Psychology-guided Controllable Story Generation
    Yuqiang Xie, Yue Hu, Yunpeng Li, Guanqun Bi, Luxi Xing and Wei Peng
    In Proceedings of International Conference on Computational Linguistics (COLING), 2022.
    [Paper] [Code]
  • CLSEG: Contrastive Learning of Story Ending Generation
    Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng and Ping Guo
    In Proceedings of International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022.
    [Paper] [Code]
  • IIE-NLP-Eyas at OutGen: Chinese Outline-conditioned Story Generation via a Progressive Plot-Event-Story Framework (60M Track Top-1，Main Track Top-4/27 Teams)
    Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng and Ping Guo
    In , CIPS-NLGIW, 2022.
    [Code]
  • Modeling Intention, Emotion and External World in Dialogue Systems
    Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Xingsheng Zhang and Yajing Sun
    In Proceedings of International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022.
    [Paper]

2021

  • IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation (Top-8/237 Teams)
    Yuqiang Xie, Luxi Xing, Wei Peng and Yue Hu
    In Proceedings of the Fifteen Workshop on Semantic Evaluation, SemEval@ACL-IJCNLP, 2021.
    [Paper] [Code]
  • APER: AdaPtive Evidence-driven Reasoning Network for machine reading comprehension with unanswerable questions
    Wei Peng, Yue Hu, Jing Yu, Luxi Xing and Yuqiang Xie
    In Knowledge-Based Systems 229, 107364, 2021.
    [Paper]

2020

  • Enhancing Pre-trained Language Models by Self-Supervised Learning for Story Cloze Test
    Yuqiang Xie, Yue Hu, Luxi Xing, Chunhui Wang, Yong Hu, Xiangpeng Wei and Yajing Sun
    In Proceedings of Knowledge Science, Engineering and Management (KSEM), 2020.
    [Paper]
  • History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System
    Yajing Sun, Yue Hu, Luxi Xing, Jing Yu and Yuqiang Xie
    In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
    [Paper]
  • Coarse-To-Careful: Seeking Semantic-Related Knowledge for Open-Domain Commonsense Question Answering
    Luxi Xing, Yue Hu, Yuqiang Xie, Wei Peng and Jing Yu
    In Proceedings of International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2020.
    [Paper]
  • A Matching-Integration-Verification Model for Multiple-Choice Reading Comprehension
    Luxi Xing, Yue Hu, Yuqiang Xie, Chunhui Wang and Yong Hu
    In Proceedings of Knowledge Science, Engineering and Management (KSEM), 2020.
    [Paper]
  • Bi-directional Cognitive Thinking Network for Machine Reading Comprehension
    Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Jing Yu, Yajing Sun and Xiangpeng Wei
    In Proceedings of International Conference on Computational Linguistics (COLING), 2020.
    [Paper]
  • MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension
    Wei Peng, Yue Hu, Jing Yu, Luxi Xing, Yuqiang Xie, Zihao Zhu and Yajing Sun
    In Proceedings of International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2020.
    [Paper]
  • IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE (Top-3/609 Teams)
    Luxi Xing, Yuqiang Xie, Yue Hu and Wei Peng
    In Proceedings of the Fourteenth Workshop on Semantic Evaluation, SemEval@COLING, 2020.
    [Paper]

2019

  • Dynamic Task-Specific Factors for Meta-Embedding
    Yuqiang Xie, Yue Hu, Luxi Xing and Xiangpeng Wei
    In Proceedings of Knowledge Science, Engineering and Management (KSEM), 2019.
    [Paper]

Professional Services

Reviewer/Program Committee

  • ACL Rolling Review: 2021-
  • ACL: 2020, 2021, 2022
  • EMNLP: 2020, 2021, 2022
  • SemEval: 2020, 2021
  • AAAI: 2020, 2021, 2022, 2023
  • TASLP: 2022-
  • NLPCC: 2021, 2022, 2023

Invited Talks

  • Prompt Learning for Text Classification (IIE, CAS): Nov., 2021
  • Auto-construct Commonsense Knowledge Graph with COMET (DeepShare): Jul., 2020
  • MS MARCO Leader-board Analysis (BIT): Dec., 2018

Misc

Open Source

Teaching

  • Deep Learning for Natural Language Processing (DL4NLP) at University of Chinese Academy of Sciences and IIE, CAS: 2020, 2021, 2022. Service as Teaching assistant.

Patent

  • 一种人类行为与情感的预测、溯源方法与装置，申请号:2020110453104.8. 已授权。

Awards

  • Outstanding student leader, University of Chinese Academy of Sciences: 2018-2019
  • Merit Student, University of Chinese Academy of Sciences: 2018-2019
  • Excellent Graduation Project, China University of Mining and Technology: Jun. , 2017