Cheng Liying (程丽颖)

I am currently an algorithm engineer at Alibaba DAMO Academy, Singapore. My current research direction is mainly the evaluation and applications of LLMs. I obtained my Ph.D. degree from Singapore University of Technology and Design (SUTD) and Alibaba DAMO Academy. I am honored to be advised by Prof. Lu Wei and Dr. Bing Lidong. During my PhD study, my research focuses on argument mining, text generation, summarization, etc. I received my Bachelor's degree (Summa Cum Laude) from Singapore University of Technology and Design.

Email: chengliying9581 at gmail.com

[GitHub] [Google Scholar]

Publications and Preprints

  • SeaLLMs -- Large Language Models for Southeast Asia
    Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing
    Arxiv Preprint
    [paper] [code]
  • Exploring the Potential of Large Language Models in Computational Argumentation
    Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing
    Arxiv Preprint
    [paper] [code]
  • Is GPT-4 a Good Data Analyst?
    Liying Cheng, Xingxuan Li, Lidong Bing
    In Findings of EMNLP 2023 (Long)
    [paper] [code]
  • Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
    Chenhui Shen, Liying Cheng, Yang You, Lidong Bing
    In Findings of EMNLP 2023 (Long)
    [paper] [code]
  • A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization
    Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing
    In Findings of EMNLP 2023 (Long)
    [paper] [code]
  • Unlocking Temporal Question Answering for Large Language Models Using Code Execution
    Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing
    Arxiv Preprint
    [paper] [code]
  • AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
    Jia Guo*, Liying Cheng*, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
    In Findings of ACL 2023 (Long)
    [paper] [code]
  • SentBS: Sentence-level Beam Search for Controllable Summarization
    Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si
    In Proceedings of EMNLP 2022 (Short)
    [paper] [code]
  • IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
    Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si
    In Proceedings of ACL 2022 (Long)
    [paper] [code]
  • MReD: A Meta-Review Dataset for Controllable Text Generation
    Chenhui Shen*, Liying Cheng*, Ran Zhou, Lidong Bing, Yang You, Luo Si
    In Findings of ACL 2022 (Long)
    [paper] [code]
  • Overview of Argumentative Text Understanding for AI Debater Challenge
    Jian Yuan*, Liying Cheng*, Ruidan He*, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang
    In Proceedings of NLPCC 2021
    [paper]
  • Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding
    Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si
    In Proceedings of ACL 2021 (Long)
    [paper] [code]
  • On the effectiveness of adapter-based tuning for pretrained language model adaptation
    Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si
    In Proceedings of ACL 2021 (Long)
    [paper]
  • APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning
    Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si
    In Proceedings of EMNLP 2020 (Long)
    [paper] [code]
  • ENT-DESC: Entity Description Generation by Exploring Knowledge Graph
    Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si
    In Proceedings of EMNLP 2020 (Long)
    [paper] [code]