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2020 – today
- 2024
[c19]Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu:
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. ACL (Findings) 2024: 11143-11156- [c18]Xiaolong Wang, Yile Wang, Sijie Cheng, Peng Li, Yang Liu:
DEEM: Dynamic Experienced Expert Modeling for Stance Detection. LREC/COLING 2024: 4530-4541 - [c17]Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu:
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models. CVPR 2024: 14291-14302 - [c16]Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu:
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. ICLR 2024 - [c15]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:
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning. ICML 2024 - [i19]Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu:
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models. CoRR abs/2401.11725 (2024) - [i18]Xiaolong Wang, Yile Wang, Sijie Cheng, Peng Li, Yang Liu:
DEEM: Dynamic Experienced Expert Modeling for Stance Detection. CoRR abs/2402.15264 (2024) - [i17]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:
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning. CoRR abs/2402.18137 (2024) - [i16]Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu:
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. CoRR abs/2403.07714 (2024) - [i15]Chunjiang Ge, Sijie Cheng, Ziming Wang, Jiale Yuan, Yuan Gao, Jun Song, Shiji Song, Gao Huang, Bo Zheng:
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models. CoRR abs/2405.15738 (2024) - [i14]Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan:
Instruction-Guided Visual Masking. CoRR abs/2405.19783 (2024) - [i13]Sijie Cheng, Kechen Fang, Yangyang Yu, Sicheng Zhou, Bohao Li, Ye Tian, Tingguang Li, Lei Han, Yang Liu:
VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI. CoRR abs/2410.11623 (2024) - 2023
- [c14]Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong:
Unsupervised Explanation Generation via Correct Instantiations. AAAI 2023: 12700-12708 - [c13]Xuanjie Fang, Sijie Cheng, Yang Liu, Wei Wang:
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. ACL (Findings) 2023: 7322-7336 - [c12]Jiangjie Chen, Wei Shi, Ziquan Fu, Sijie Cheng, Lei Li, Yanghua Xiao:
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge. ACL (1) 2023: 9890-9908 - [c11]Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu:
Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. ACL (Findings) 2023: 10896-10912 - [c10]Guan Wang, Yuhao Sun, Sijie Cheng, Sen Song:
Evolving Connectivity for Recurrent Spiking Neural Networks. NeurIPS 2023 - [i12]Jiangjie Chen, Wei Shi, Ziquan Fu, Sijie Cheng, Lei Li, Yanghua Xiao:
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge. CoRR abs/2305.05976 (2023) - [i11]Xuanjie Fang, Sijie Cheng, Yang Liu, Wei Wang:
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. CoRR abs/2305.17440 (2023) - [i10]Guan Wang, Yuhao Sun, Sijie Cheng, Sen Song:
Evolving Connectivity for Recurrent Spiking Neural Networks. CoRR abs/2305.17650 (2023) - [i9]Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu:
Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. CoRR abs/2305.17653 (2023) - [i8]Guan Wang, Sijie Cheng, Xianyuan Zhan
, Xiangang Li, Sen Song, Yang Liu:
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. CoRR abs/2309.11235 (2023) - [i7]Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu:
Can Vision-Language Models Think from a First-Person Perspective? CoRR abs/2311.15596 (2023) - 2022
- [c9]Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li:
Unsupervised Editing for Counterfactual Stories. AAAI 2022: 10473-10481 - [c8]Qianyu He, Sijie Cheng, Zhixu Li, Rui Xie, Yanghua Xiao:
Can Pre-trained Language Models Interpret Similes as Smart as Human? ACL (1) 2022: 7875-7887 - [c7]Wenqiang Li, Juan He, Sijie Cheng, Xiaohui Huang, Zhengbo Li:
Research on Green Supply Chain Decision-Making Based on Blockchain to Eliminate the Risk of Energy Efficiency Data Fraud. BDSIC 2022: 43-50 - [c6]Xiaohui Huang, Juan He, Sijie Cheng:
Research on Cost-Sharing Contract for New Energy Vehicle Battery R&D Based on Quality and Price Sensitivity. EBEE 2022: 78-82 - [c5]Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao:
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. ICDE 2022: 3280-3293 - [c4]Xiaozhi Zhu, Tianyong Hao, Sijie Cheng, Fu Lee Wang, Hai Liu:
A Self-supervised Joint Training Framework for Document Reranking. NAACL-HLT (Findings) 2022: 1056-1065 - [i6]Qianyu He, Sijie Cheng, Zhixu Li, Rui Xie, Yanghua Xiao:
Can Pre-trained Language Models Interpret Similes as Smart as Human? CoRR abs/2203.08452 (2022) - [i5]Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao:
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. CoRR abs/2203.14921 (2022) - [i4]Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong:
Unsupervised Explanation Generation via Correct Instantiations. CoRR abs/2211.11160 (2022) - 2021
- [c3]Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang:
On Commonsense Cues in BERT for Solving Commonsense Tasks. ACL/IJCNLP (Findings) 2021: 683-693 - [i3]Sijie Cheng, Jingwen Wu, Yanghua Xiao, Yang Liu:
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion. CoRR abs/2110.11027 (2021) - [i2]Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li:
Unsupervised Editing for Counterfactual Stories. CoRR abs/2112.05417 (2021) - 2020
- [c2]Yatao Zhao, Jiangfeng Wang, Sijie Cheng, Zhijun Gao, Haitao Huang:
Multi-tag Information Interactive Communication Model based on Precise Position Detection in Vehicle-Infrastructure Collaboration Environment. ICITE 2020: 326-330 - [i1]Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang:
Does BERT Solve Commonsense Task via Commonsense Knowledge? CoRR abs/2008.03945 (2020)
2010 – 2019
- 2019
- [j3]Chao Li, Sijie Cheng, Peng-Fei Cheng:
Optimal Incentive Contract for Sales Team with Loss Aversion Preference. Symmetry 11(7): 864 (2019) - 2018
- [c1]Shiya Ren, Zhixing Li, Huaming Wang, Yuan Li, Ke Shen, Sijie Cheng:
NEARM: Natural Language Enhanced Association Rules Mining. ICDM Workshops 2018: 438-445 - 2016
- [j2]Sijie Cheng, Bimei Li, Zhongzhi Yuan, Fuyi Zhang, Jincheng Liu:
Development of a lifetime prediction model for lithium thionyl chloride batteries based on an accelerated degradation test. Microelectron. Reliab. 65: 274-279 (2016) - 2015
- [j1]Sijie Cheng, Zhongzhi Yuan, Xiangping Ye, Fuyi Zhang, Jincheng Liu:
Empirical prediction model for Li/SOCl2 cells based on the accelerated degradation test. Microelectron. Reliab. 55(1): 101-106 (2015)
Coauthor Index
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