Publications

Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu (2023). OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. In ICLR 2024.

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Jiangjie Chen, Wei Shi, Ziquan Fu, Sijie Cheng, Lei Li, Yanghua Xiao (2023). Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge. In ACL 2023.

Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu (2023). Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. In ACL 2023.

Xuanjie Fang, Sijie Cheng, Yang Liu, Wei Wang (2023). Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. In ACL 2023.

Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong (2023). Unsupervised Explanation Generation via Correct Instantiations. In AAAI 2023.

Qianyu He, Sijie Cheng, Zhixu Li, Rui Xie, Yanghua Xiao (2022). Can Pre-trained Language Models Interpret Similes as Smart as Human?. In ACL 2022.

Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao (2022). Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. In ICDE 2022.

Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhao, Yanghua Xiao, Lei Li (2022). Unsupervised Editing for Counterfactual Stories. In AAAI 2022.

Sijie Cheng, Jingwen Wu, Yanghua Xiao, Yang Liu (2021). Federated Learning of Larger Server Models via Selective Knowledge Fusion.

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Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang (2021). On commonsense cues in bert for solving commonsense tasks. In ACL-IJCNLP 2021.

Shiya Ren, Zhixing Li, Huaming Wang, Yuan Li, Ke Shen, Sijie Cheng (2018). NEARM: Natural Language Enhanced Association Rules Mining. In ICDM Workshops 2018.