[硕士论文]基于图谱补全和过程验证的因果推理研究与应用
Published in 硕士毕业论文, 2026
罗天宇: 基于图谱补全和过程验证的因果推理研究与应用. 中国科学院计算技术研究所，硕士毕业论文, 2026
Publications
[硕士论文]基于大语言模型的自然语言到谓词逻辑翻译方法研究
Published in 硕士毕业论文, 2026
黄宇威: 基于大语言模型的自然语言到谓词逻辑翻译方法研究. 中国科学院计算技术研究所，硕士毕业论文, 2026
Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection
Published in ACL (CCF-A), 2026
Xiaowei Zhu, Yubing Ren, Fang Fang, Shi Wang, Yanan Cao, Li Guo: Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection. ACL 2026 (Main)
DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack
Published in ACL (Findings), 2026
Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Shi Wang, Li Guo: DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack. ACL 2026 (Findings)
LSEG: A Fine-tuning Free Method for NL2FOL via Logic-Structure and Entropy Guided Inference Controlling
Published in ACL (Findings), 2026
Yuwei Huang, Shi Wang, Kangli Zi, Tianyu Luo, Jiang Zhixiao, Ruiheng Wang, Yufei Wang: LSEG: A Fine-tuning Free Method for NL2FOL via Logic-Structure and Entropy Guided Inference Controlling. ACL 2026 (Findings)
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
Published in AAAI (CCF-A), 2026
Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang, Yanan Cao: PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models. AAAI 2026: 15386-15393
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
Published in EMNLP (CCF-B), 2025
Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan: Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning. EMNLP 2025: 20981-20995.
[硕士论文]基于分类和一致性验证的AIGC文本检测方法研究
Published in 硕士毕业论文, 2025
杨竞: 基于分类和一致性验证的AIGC文本检测方法研究. 中国科学院计算技术研究所，硕士毕业论文, 2025
[硕士论文]基于神经符号计算的知识数据融合学习框架研究
Published in 硕士毕业论文, 2025
孙严顺: 基于神经符号计算的知识数据融合学习框架研究. 中国科学院计算技术研究所，硕士毕业论文, 2025
Bridging the Gap: Aligning Language Model Generation with Structured Information Extraction via Controllable State Transition
Published in WWW (CCF-A), 2025
Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Zheng Lin, Shi Wang: Bridging the Gap: Aligning Language Model Generation with Structured Information Extraction via Controllable State Transition. WWW 2025: 1811-1821
Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models
Published in Journal of Software, 2025
HUANG Qiao-Juan, CAO Cun-Gen, WANG Ya, WANG Shi. Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models. Journal of Software, 2025,36(9):4153-4186
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation
Published in LREC-COLING (CCF-B), 2024
Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Wenhao Huang, Ge Zhang, Jie Fu. CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. LREC-COLING 2024.
Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction
Published in ICASSP (CCF-B), 2024
Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang. Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction. ICASSP 2024
Generative Models for Complex Logical Reasoning over Knowledge Graphs
Published in WSDM (CCF-B), 2024
Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang, Guanqun Bi. Generative Models for Complex Logical Reasoning over Knowledge Graphs. WSDM 2024.
State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network
Published in Journal of Energy Storage (IF: 9.4), 2023
Jingyi Gao, Dongfang Yang, Shi Wang, Zhaoting Li, Licheng Wang, Kai Wang. State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network. In Journal of Energy Storage, 2023.
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
Published in NeurIPS (CCF-A), 2023
Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu: MARBLE: Music Audio Representation Benchmark for Universal Evaluation. NeurIPS 2023
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information
Published in ICASSP (CCF-B), 2023
Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Chengzhong Xu, Dejing Dou. Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. In ICASSP 2023.
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
Published in ACL (CCF-A), 2023
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, and Li Guo. Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. In ACL 2023.
Interactive Natural Language Processing
Published in arXiv:2305.13246, 2023
Z Wang, G Zhang, K Yang, N Shi, W Zhou, S Wang, etc., Interactive natural language processing. arXiv preprint arXiv:2305.13246, 2023
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models
Published in AACL, 2022
Yizhi Li, Ge Zhang, Bohao Yang, Chenghua Lin, Anton Ragni, Shi Wang, and Jie Fu: HERB - Measuring Hierarchical Regional Bias in Pre-trained Language Models. In AACL-IJCNLP 2022: 334-346.
[标准]基于文本数据的金融风险防控要求
Published in 中华人民共和国国家标准, 2022
国家市场监督管理总局. 基于文本数据的金融风险防控要求:GB/T 41462-2022[S]. 2022.
HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding
Published in DASFAA (CCF-B), 2022
Shi Wang, Daniel Tang, Luchen Zhang, Huilin Li, Ding Han: HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding. DASFAA (2) 2022: 523-539
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
Published in ACL (CCF-A), 2022
Ruipeng Jia, Xingxing Zhang, Yanan Cao, Zheng Lin, Shi Wang, Furu Wei: Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. ACL (1) 2022: 561-570
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map
Published in EMNLP (CCF-B), 2021
Kangli Zi, Shi Wang, Yu Liu, Jicun Li, Yanan Cao, Cungen Cao: SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map. EMNLP (1) 2021: 403-415
Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism
Published in EMNLP (CCF-B), 2021
Xingwu Sun, Yanling Cui, Hongyin Tang, Fuzheng Zhang, Beihong Jin, Shi Wang: Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism. EMNLP (1) 2021: 3570-3579
Deep Differential Amplifier for Extractive Summarization
Published in ACL (CCF-A), 2021
Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang: Deep Differential Amplifier for Extractive Summarization. ACL/IJCNLP (1) 2021: 366-376
Knowledge Enhanced Sequential Entity Linking
Published in IJCNN, 2021
Yu Liu, Shi Wang, Kangli Zi, Jicun Li, Cungen Cao: Knowledge Enhanced Sequential Entity Linking. IJCNN 2021: 1-8
Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences
Published in AAAI (CCF-A), 2021
Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang: Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences. AAAI 2021: 13134-13142
Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction
Published in ICASSP (CCF-B), 2021
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Ruipeng Jia, Fang Fang, Shi Wang: Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction. ICASSP 2021: 7683-7687
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
Published in EMNLP (CCF-B), 2020
Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang:Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. EMNLP (1) 2020: 3622-3631
HIN: Hierarchical Inference Network for Document-Level Relation Extraction (BEST PAPER AWARD)
Published in PAKDD (BEST PAPER), 2020
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin: HIN: Hierarchical Inference Network for Document-Level Relation Extraction. PAKDD (1) 2020: 197-209
High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking
Published in WWW (CCF-A), 2020
Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang: High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. WWW 2020: 640-650
Answer-focused and Position-aware Neural Question Generation
Published in EMNLP (CCF-B), 2018
Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, Shi Wang: Answer-focused and Position-aware Neural Question Generation. EMNLP 2018: 3930-3939
more…
Published in 26/04, 1981
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