| 2026 | ACL | AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models. | Zhanyu Shen, Sijie Cheng, Zhicheng Guo, Weiqin Wang, Yile Wang, Hui Huang |
| 2026 | ACL | Evaluating Memory Capability in Continuous Lifelog Scenario. | Jianjie Zheng, Zhichen Liu, Zhanyu Shen, Jingxiang Qu, Guanhua Chen, Yile Wang, Yang Xu, Yang Liu, Sijie Cheng |
| 2025 | ACL | StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7, 000+ Real-World APIs. | Zhicheng Guo, Sijie Cheng, Yuchen Niu, Hao Wang, Sicheng Zhou, Wenbing Huang, Yang Liu |
| 2025 | COLING | Leveraging Language-based Representations for Better Solving Symbol-related Problems with Large Language Models. | Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu |
| 2024 | ACL | StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. | Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu |
| 2024 | COLING | DEEM: Dynamic Experienced Expert Modeling for Stance Detection. | Xiaolong Wang, Yile Wang, Sijie Cheng, Peng Li, Yang Liu |
| 2024 | CVPR | EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models. | Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu |
| 2024 | ICLR | OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. | Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu |
| 2024 | ICML | DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning. | Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan |
| 2023 | AAAI | Unsupervised Explanation Generation via Correct Instantiations. | Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong |
| 2023 | ACL | Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge. | Jiangjie Chen, Wei Shi, Ziquan Fu, Sijie Cheng, Lei Li, Yanghua Xiao |
| 2023 | ACL | Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. | Xuanjie Fang, Sijie Cheng, Yang Liu, Wei Wang |
| 2023 | ACL | Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. | Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu |
| 2022 | AAAI | Unsupervised Editing for Counterfactual Stories. | Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li |
| 2022 | ACL | Can Pre-trained Language Models Interpret Similes as Smart as Human? | Qianyu He, Sijie Cheng, Zhixu Li, Rui Xie, Yanghua Xiao |
| 2022 | ICDE | Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. | Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao |
| 2022 | NAACL | A Self-supervised Joint Training Framework for Document Reranking. | Xiaozhi Zhu, Tianyong Hao, Sijie Cheng, Fu Lee Wang, Hai Liu |
| 2021 | ACL | On Commonsense Cues in BERT for Solving Commonsense Tasks. | Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang |
| 2018 | ICDM | NEARM: Natural Language Enhanced Association Rules Mining. | Shiya Ren, Zhixing Li, Huaming Wang, Yuan Li, Ke Shen, Sijie Cheng |