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2020 – today
- 2024
[j5]Jie Ma
, Qi Chai, Jun Liu, Qingyu Yin, Pinghui Wang, Qinghua Zheng:
XTQA: Span-Level Explanations for Textbook Question Answering. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16493-16503 (2024)- [c31]Wenxuan Ding, Weiqi Wang, Sze Heng Douglas Kwok, Minghao Liu, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Junxian He, Yangqiu Song:
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. EMNLP (Findings) 2024: 2247-2266 - [c30]Qingyu Yin, Xuzheng He, Chak Tou Leong, Fan Wang, Yanzhao Yan, Xiaoyu Shen, Qiang Zhang:
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning. EMNLP (Findings) 2024: 4138-4151 - [c29]Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao Jing, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song:
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding. EMNLP 2024: 7800-7815 - [c28]Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton:
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP 2024: 13696-13710 - [c27]Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang:
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. ICLR 2024 - [c26]Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley:
MEMORYLLM: Towards Self-Updatable Large Language Models. ICML 2024 - [c25]Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang:
StableMask: Refining Causal Masking in Decoder-only Transformer. ICML 2024 - [c24]Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Yangqiu Song:
Understanding Inter-Session Intentions via Complex Logical Reasoning. KDD 2024: 71-82 - [c23]Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang:
IterAlign: Iterative Constitutional Alignment of Large Language Models. NAACL-HLT 2024: 1423-1433 - [i27]Qiang Zhang, Keyang Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen:
Scientific Large Language Models: A Survey on Biological & Chemical Domains. CoRR abs/2401.14656 (2024) - [i26]Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang:
StableMask: Refining Causal Masking in Decoder-only Transformer. CoRR abs/2402.04779 (2024) - [i25]Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang:
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR abs/2403.10667 (2024) - [i24]Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang:
IterAlign: Iterative Constitutional Alignment of Large Language Models. CoRR abs/2403.18341 (2024) - [i23]Chengguang Gan, Qingyu Yin, Xinyang He, Hanjun Wei, Yunhao Liang, Younghun Lim, Shijian Wang, Hexiang Huang, Qinghao Zhang, Shiwen Ni, Tatsunori Mori:
MMM: Multilingual Mutual Reinforcement Effect Mix Datasets & Test with Open-domain Information Extraction Large Language Models. CoRR abs/2407.10953 (2024) - [i22]Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li:
RNR: Teaching Large Language Models to Follow Roles and Rules. CoRR abs/2409.13733 (2024) - [i21]Qingyu Yin, Xuzheng He, Luoao Deng, Chak Tou Leong, Fan Wang, Yanzhao Yan, Xiaoyu Shen, Qiang Zhang:
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning. CoRR abs/2410.04691 (2024) - [i20]Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin:
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. CoRR abs/2410.20745 (2024) - 2023
- [c22]Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao:
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. ACL (industry) 2023: 616-628 - [c21]Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou:
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels. ACL (Findings) 2023: 2652-2665 - [c20]Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin:
Graph Reasoning for Question Answering with Triplet Retrieval. ACL (Findings) 2023: 3366-3375 - [c19]Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu:
Knowledge-Selective Pretraining for Attribute Value Extraction. EMNLP (Findings) 2023: 8062-8074 - [c18]Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang:
Improving Consistency for Text Summarization with Energy Functions. EMNLP (Findings) 2023: 11925-11931 - [c17]Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song:
Knowledge Graph Reasoning over Entities and Numerical Values. KDD 2023: 57-68 - [c16]Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu:
Exploiting Intent Evolution in E-commercial Query Recommendation. KDD 2023: 5162-5173 - [i19]Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin:
Graph Reasoning for Question Answering with Triplet Retrieval. CoRR abs/2305.18742 (2023) - [i18]Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song:
Knowledge Graph Reasoning over Entities and Numerical Values. CoRR abs/2306.01399 (2023) - [i17]Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou:
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels. CoRR abs/2307.01969 (2023) - [i16]Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Yangqiu Song:
Understanding Inter-Session Intentions via Complex Logical Reasoning. CoRR abs/2312.13866 (2023) - 2022
- [j4]Le Qi, Yu Zhang, Qingyu Yin, Ting Liu:
MS-Transformer: Introduce multiple structural priors into a unified transformer for encoding sentences. Comput. Speech Lang. 72: 101304 (2022) - [c15]Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang:
SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. NAACL-HLT (Findings) 2022: 49-60 - [c14]Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang:
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. NAACL-HLT 2022: 219-230 - [c13]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. NAACL-HLT (Findings) 2022: 1233-1246 - [c12]Le Qi, Yu Zhang, Qingyu Yin, Guidong Zheng, Wen Junjie, Jinlong Li, Ting Liu:
All Information is Valuable: Question Matching over Full Information Transmission Network. NAACL-HLT (Findings) 2022: 1431-1440 - [c11]Yuyang Wang, Liqiang Zhao, Haiyan Tu, Guorong Zhou, Qingyu Yin:
Design and Implementation of Endogenous Intelligence-based Multi-Access Edge Computing. PIMRC 2022: 515-521 - [c10]Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin:
Query Attribute Recommendation at Amazon Search. RecSys 2022: 506-508 - [c9]Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher:
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. WWW 2022: 462-472 - [i15]Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher:
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. CoRR abs/2202.06129 (2022) - [i14]Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang:
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. CoRR abs/2204.04303 (2022) - [i13]Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang:
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. CoRR abs/2205.07381 (2022) - [i12]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. CoRR abs/2205.10471 (2022) - [i11]Simiao Zuo, Haoming Jiang, Qingyu Yin, Xianfeng Tang, Bing Yin, Tuo Zhao:
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks. CoRR abs/2209.07499 (2022) - [i10]Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao:
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. CoRR abs/2209.07584 (2022) - [i9]Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin:
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding. CoRR abs/2210.03915 (2022) - 2021
- [c8]Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification. EMNLP (1) 2021: 175-184 - [i8]Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification. CoRR abs/2109.06480 (2021) - 2020
- [j3]Yu Zhang, Mingxiang Tuo, Qingyu Yin, Le Qi, Xuxiang Wang, Ting Liu:
Keywords extraction with deep neural network model. Neurocomputing 383: 113-121 (2020) - [j2]Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu:
Chinese Zero Pronoun Resolution: A Collaborative Filtering-based Approach. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 3:1-3:20 (2020) - [c7]Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification. COLING 2020: 5335-5346 - [i7]Funan Mu, Zhenting Yu, Lifeng Wang, Yequan Wang, Qingyu Yin, Yibo Sun, Liqun Liu, Teng Ma, Jing Tang, Xing Zhou:
Keyphrase Extraction with Span-based Feature Representations. CoRR abs/2002.05407 (2020) - [i6]Jie Ma, Jun Liu, Junjun Li, Qinghua Zheng, Qingyu Yin, Jianlong Zhou, Yi Huang:
XTQA: Span-Level Explanations of the Textbook Question Answering. CoRR abs/2011.12662 (2020) - [i5]Le Qi, Yu Zhang, Qingyu Yin, Ting Liu:
Multiple Structural Priors Guided Self Attention Network for Language Understanding. CoRR abs/2012.14642 (2020)
2010 – 2019
- 2019
- [j1]Weinan Zhang, Ting Liu, Qingyu Yin, Yu Zhang:
Neural recovery machine for Chinese dropped pronoun. Frontiers Comput. Sci. 13(5): 1023-1033 (2019) - [c6]Hui Liu, Qingyu Yin, William Yang Wang:
Towards Explainable NLP: A Generative Explanation Framework for Text Classification. ACL (1) 2019: 5570-5581 - 2018
- [c5]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution. ACL (1) 2018: 569-578 - [c4]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Zero Pronoun Resolution with Attention-based Neural Network. COLING 2018: 13-23 - [i4]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Deep Reinforcement Learning for Chinese Zero pronoun Resolution. CoRR abs/1806.03711 (2018) - [i3]Hui Liu, Qingyu Yin, William Yang Wang:
Towards Explainable NLP: A Generative Explanation Framework for Text Classification. CoRR abs/1811.00196 (2018) - 2017
- [c3]Ting Liu, Yiming Cui, Qingyu Yin, Weinan Zhang, Shijin Wang, Guoping Hu:
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. ACL (1) 2017: 102-111 - [c2]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu:
Chinese Zero Pronoun Resolution with Deep Memory Network. EMNLP 2017: 1309-1318 - [c1]Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu:
A Deep Neural Network for Chinese Zero Pronoun Resolution. IJCAI 2017: 3322-3328 - 2016
- [i2]Weinan Zhang, Ting Liu, Qingyu Yin, Yu Zhang:
Neural Recovery Machine for Chinese Dropped Pronoun. CoRR abs/1605.02134 (2016) - [i1]Ting Liu, Yiming Cui, Qingyu Yin, Shijin Wang, Weinan Zhang, Guoping Hu:
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. CoRR abs/1606.01603 (2016)
Coauthor Index
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last updated on 2024-12-08 02:23 CET by the dblp team
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