Quan Wang - RankMe

98 papers A* 26A 1B 2C 1Misc 2Journal 34Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations. AAAI Yixing Peng, Licheng Zhang, Shancheng Fang, Yi Liu, Peijian Gu, Quan Wang
2026	J	`jnl`	FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations. CoRR Yixing Peng, Licheng Zhang, Shancheng Fang, Yi Liu, Peijian Gu, Quan Wang
2026	A*	`conf`	In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback. AAAI Mingye Zhu, Yi Liu, Zheren Fu, Quan Wang, Yongdong Zhang
2026	J	`jnl`	Toward Accurate Image Generation via Dynamic Generative Image Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Zhendong Mao, Mengqi Huang, Yijing Lin, Quan Wang, Lei Zhang, Yongdong Zhang
2025	—	`conf`	Alleviating Hallucinations in Large Language Models via Truthfulness-driven Rank-adaptive LoRA. ACL (Findings) Jiahao Li, Zhendong Mao, Quan Wang
2025	—	`conf`	CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays. COLING Workshops Kaijie Jiao, Xingyu Yao, Shixuan Ma, Sifan Fang, Zikang Guo, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao
2025	A*	`conf`	Continual Origin Tracing of LLM-Generated Text. SIGIR Haoran Li, Quan Wang
2025	A*	`conf`	ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA. AAAI Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao
2025	—	`conf`	Fine-grained Knowledge Enhancement for Retrieval-Augmented Generation. ACL (Findings) Jingxuan Han, Zhendong Mao, Yi Liu, Yexuan Che, Zheren Fu, Quan Wang
2025	—	`conf`	Improve Safety Training of Large Language Models with Safety-Critical Singular Vectors Localization. ACL (1) Peijian Gu, Quan Wang, Zhendong Mao
2025	J	`jnl`	In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback. CoRR Mingye Zhu, Yi Liu, Zheren Fu, Quan Wang, Yongdong Zhang
2025	J	`jnl`	Leveraging Robust Optimization for LLM Alignment under Distribution Shifts. CoRR Mingye Zhu, Yi Liu, Junbo Guo, Quan Wang, Yong-Dong Zhang, Zhendong Mao
2025	—	`conf`	M-RangeDetector: Enhancing Generalization in Machine-Generated Text Detection through Multi-Range Attention Masks. ACL (Findings) Kaijie Jiao, Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao
2025	J	`jnl`	On Continually Tracing Origins of LLM-Generated Text and Its Application in Detecting Cheating in Student Coursework. Big Data Cogn. Comput. Quan Wang, Haoran Li
2025	—	`conf`	Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability. ACL (Findings) Chiwei Zhu, Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Zhendong Mao
2025	J	`jnl`	Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability. CoRR Chiwei Zhu, Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Zhendong Mao
2024	A*	`conf`	Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. AAAI Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao
2024	J	`jnl`	Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. CoRR Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao
2024	—	`conf`	Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. ACL (1) Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao
2024	J	`jnl`	Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. CoRR Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao
2024	—	`conf`	Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering. ACL (Findings) Yixing Peng, Quan Wang, Licheng Zhang, Yi Liu, Zhendong Mao
2024	J	`jnl`	Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension. IEEE Signal Process. Lett. Licheng Zhang, Quan Wang, Benfeng Xu, Yi Liu, Zhendong Mao
2024	—	`conf`	Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. ACL (1) Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao
2024	J	`jnl`	Document-level Relation Extraction with Progressive Self-distillation. ACM Trans. Inf. Syst. Quan Wang, Zhendong Mao, Jie Gao, Yongdong Zhang
2024	J	`jnl`	Enhance Lifelong Model Editing with Continuous Data-Adapter Association. CoRR Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao
2024	—	`conf`	Feature-Adaptive and Data-Scalable In-Context Learning. ACL (1) Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao
2024	J	`jnl`	Feature-Adaptive and Data-Scalable In-Context Learning. CoRR Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao
2024	A*	`conf`	FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. EMNLP Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao
2024	J	`jnl`	FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. CoRR Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao
2024	—	`conf`	IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures. LREC/COLING Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao
2024	—	`conf`	USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. SemEval@NAACL Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao
2023	A*	`conf`	$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. ICLR Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang
2023	A*	`conf`	Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation. EMNLP Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao
2023	J	`jnl`	Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation. CoRR Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao
2023	A*	`conf`	E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. EMNLP Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao
2023	J	`jnl`	E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. CoRR Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao
2023	J	`jnl`	ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. CoRR Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao
2023	—	`conf`	Grammatical Error Correction via Mixed-Grained Weighted Training. EMNLP (Findings) Jiahao Li, Quan Wang, Chiwei Zhu, Zhendong Mao, Yongdong Zhang
2023	J	`jnl`	Grammatical Error Correction via Mixed-Grained Weighted Training. CoRR Jiahao Li, Quan Wang, Chiwei Zhu, Zhendong Mao, Yongdong Zhang
2023	—	`conf`	IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding. EMNLP (Findings) Peijian Gu, Yaozong Shen, Lijie Wang, Quan Wang, Hua Wu, Zhendong Mao
2023	Misc	`conf`	Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. ICASSP Jiaang Li, Quan Wang, Zhendong Mao
2023	J	`jnl`	Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. CoRR Jiaang Li, Quan Wang, Zhendong Mao
2023	A*	`conf`	Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation. CVPR Mengqi Huang, Zhendong Mao, Quan Wang, Yongdong Zhang
2023	J	`jnl`	Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation. CoRR Mengqi Huang, Zhendong Mao, Quan Wang, Yongdong Zhang
2023	—	`conf`	On the Calibration of Large Language Models and Alignment. EMNLP (Findings) Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao
2023	J	`jnl`	On the Calibration of Large Language Models and Alignment. CoRR Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao
2023	A*	`conf`	Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation. EMNLP Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao
2023	J	`jnl`	Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation. CoRR Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao
2023	—	`conf`	S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. ACL (1) Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, Zhendong Mao
2023	Misc	`conf`	SADE: A Self-Adaptive Expert for Multi-Dataset Question Answering. ICASSP Yixing Peng, Quan Wang, Zhendong Mao, Yong-Dong Zhang
2023	—	`conf`	Text Style Transfer with Contrastive Transfer Pattern Mining. ACL (1) Jingxuan Han, Quan Wang, Licheng Zhang, Weidong Chen, Yan Song, Zhendong Mao
2023	J	`jnl`	kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. CoRR Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang
2022	B	`conf`	Abusive Language Detection with Graph based Multi-task Learning. IEEE Big Data Chunyun Zhang, Xi Zhang, Quan Wang, Jiayi Liang, Ge Zhang, Sanchuan Guo, Wenyu Zang, Yongdong Zhang
2022	A*	`conf`	DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation. ACM Multimedia Mengqi Huang, Zhendong Mao, Penghui Wang, Quan Wang, Yongdong Zhang
2022	J	`jnl`	DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation. CoRR Mengqi Huang, Zhendong Mao, Penghui Wang, Quan Wang, Yongdong Zhang
2022	—	`conf`	EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. NAACL-HLT Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao
2022	A*	`conf`	Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity. EMNLP Jiahao Li, Quan Wang, Zhendong Mao, Junbo Guo, Yanyan Yang, Yongdong Zhang
2022	J	`jnl`	Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity. CoRR Jiahao Li, Quan Wang, Zhendong Mao, Junbo Guo, Yanyan Yang, Yongdong Zhang
2022	—	`conf`	Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples. ACL (Findings) Yu Xia, Quan Wang, Yajuan Lyu, Yong Zhu, Wenhao Wu, Sujian Li, Dai Dai
2022	A*	`conf`	MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection. IJCAI Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang
2022	A*	`conf`	Negative-Aware Attention Framework for Image-Text Matching. CVPR Kun Zhang, Zhendong Mao, Quan Wang, Yongdong Zhang
2021	—	`conf`	BDKG at MEDIQA 2021: System Report for the Radiology Report Summarization Task. BioNLP@NAACL-HLT Songtai Dai, Quan Wang, Yajuan Lyu, Yong Zhu
2021	J	`jnl`	Building Chinese Biomedical Language Models via Multi-Level Text Discrimination. CoRR Quan Wang, Songtai Dai, Benfeng Xu, Yajuan Lyu, Yong Zhu, Hua Wu, Haifeng Wang
2021	A*	`conf`	Deep Metric Learning with Self-Supervised Ranking. AAAI Zheren Fu, Yan Li, Zhendong Mao, Quan Wang, Yongdong Zhang
2021	A*	`conf`	Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. AAAI Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao
2021	J	`jnl`	Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. CoRR Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao
2021	—	`conf`	Link Prediction on N-ary Relational Facts: A Graph-based Approach. ACL/IJCNLP (Findings) Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu
2021	J	`jnl`	Link Prediction on N-ary Relational Facts: A Graph-based Approach. CoRR Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu
2021	J	`jnl`	Review and Arrange: Curriculum Learning for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. Licheng Zhang, Zhendong Mao, Benfeng Xu, Quan Wang, Yongdong Zhang
2020	A*	`conf`	Curriculum Learning for Natural Language Understanding. ACL Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, Yongdong Zhang
2020	—	`conf`	DuEE: A Large-Scale Dataset for Chinese Event Extraction in Real-World Scenarios. NLPCC (2) Xinyu Li, Fayuan Li, Lu Pan, Yuguang Chen, Weihua Peng, Quan Wang, Yajuan Lyu, Yong Zhu
2020	—	`conf`	Event Extraction as Multi-turn Question Answering. EMNLP (Findings) Fayuan Li, Weihua Peng, Yuguang Chen, Quan Wang, Lu Pan, Yajuan Lyu, Yong Zhu
2019	—	`conf`	Adaptive Convolution for Multi-Relational Learning. NAACL-HLT (1) Xiaotian Jiang, Quan Wang, Bin Wang
2019	—	`conf`	An Overview of the 2019 Language and Intelligence Challenge. NLPCC (2) Quan Wang, Wenquan Wu, Yabing Shi, Hongyu Li, Zhen Guo, Wei He, Hongyu Liu, Ying Chen, Yajuan Lyu, Hua Wu
2019	J	`jnl`	CoKE: Contextualized Knowledge Graph Embedding. CoRR Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu
2019	—	`conf`	D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension. MRQA@EMNLP Hongyu Li, Xiyuan Zhang, Yibing Liu, Yiming Zhang, Quan Wang, Xiangyang Zhou, Jing Liu, Hua Wu, Haifeng Wang
2019	—	`conf`	Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension. ACL (1) An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li
2019	—	`ed.`	Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers CCKS Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li
2018	—	`conf`	Improving Knowledge Graph Embedding Using Simple Constraints. ACL (1) Boyang Ding, Quan Wang, Bin Wang, Li Guo
2018	J	`jnl`	Improving Knowledge Graph Embedding Using Simple Constraints. CoRR Boyang Ding, Quan Wang, Bin Wang, Li Guo
2018	A*	`conf`	Knowledge Graph Embedding With Iterative Guidance From Soft Rules. AAAI Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo
2018	A*	`conf`	Post Tuned Hashing: A New Approach to Indexing High-dimensional Data. ACM Multimedia Zhendong Mao, Quan Wang, Yongdong Zhang, Bin Wang
2017	C	`conf`	Attentive Path Combination for Knowledge Graph Completion. ACML Xiaotian Jiang, Quan Wang, Baoyuan Qi, Yongqin Qiu, Peng Li, Bin Wang
2017	A	`conf`	Constructing and Embedding Abstract Event Causality Networks from Text Snippets. WSDM Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai
2017	J	`jnl`	Knowledge Graph Embedding with Iterative Guidance from Soft Rules. CoRR Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo
2017	J	`jnl`	Knowledge Graph Embedding: A Survey of Approaches and Applications. IEEE Trans. Knowl. Data Eng. Quan Wang, Zhendong Mao, Bin Wang, Li Guo
2017	J	`jnl`	Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017. CoRR Boyang Ding, Quan Wang, Bin Wang
2017	J	`jnl`	SSE: Semantically Smooth Embedding for Knowledge Graphs. IEEE Trans. Knowl. Data Eng. Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo
2016	A*	`conf`	Jointly Embedding Knowledge Graphs and Logical Rules. EMNLP Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo
2016	—	`conf`	Knowledge Base Completion via Coupled Path Ranking. ACL (1) Quan Wang, Jing Liu, Yuanfei Luo, Bin Wang, Chin-Yew Lin
2016	—	`conf`	Knowledge Base Completion via Rule-Enhanced Relational Learning. CCKS Shu Guo, Boyang Ding, Quan Wang, Lihong Wang, Bin Wang
2016	A*	`conf`	Multi-Granularity Chinese Word Embedding. EMNLP Rongchao Yin, Quan Wang, Peng Li, Rui Li, Bin Wang
2016	B	`conf`	Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks. COLING Xiaotian Jiang, Quan Wang, Peng Li, Bin Wang
2015	A*	`conf`	Context-Dependent Knowledge Graph Embedding. EMNLP Yuanfei Luo, Quan Wang, Bin Wang, Li Guo
2015	A*	`conf`	Knowledge Base Completion Using Embeddings and Rules. IJCAI Quan Wang, Bin Wang, Li Guo
2015	—	`conf`	Semantically Smooth Knowledge Graph Embedding. ACL (1) Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo
2014	A*	`conf`	A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services. EMNLP Quan Wang, Jing Liu, Bin Wang, Li Guo
2013	A*	`conf`	Question Difficulty Estimation in Community Question Answering Services. EMNLP Jing Liu, Quan Wang, Chin-Yew Lin, Hsiao-Wuen Hon