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Ping Nie
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2020 – today
- 2024
- [j3]Wei Sang, Huiliang Zhang, Xianchang Kang, Ping Nie, Xin Meng, Benoit Boulet, Pei Sun:
Dynamic multi-granularity spatial-temporal graph attention network for traffic forecasting. Inf. Sci. 662: 120230 (2024) - [j2]Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu:
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 103:1-103:27 (2024) - [c9]Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang:
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. EMNLP 2024: 17905-17923 - [i9]Giwon Hong, Aryo Pradipta Gema, Rohit Saxena, Xiaotang Du, Ping Nie, Yu Zhao, Laura Perez-Beltrachini, Max Ryabinin, Xuanli He, Clémentine Fourrier, Pasquale Minervini:
The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models. CoRR abs/2404.05904 (2024) - [i8]Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang:
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. CoRR abs/2410.15438 (2024) - 2023
- [c8]Zeming Liu, Ping Nie, Jie Cai, Haifeng Wang, Zheng-Yu Niu, Peng Zhang, Mrinmaya Sachan, Kaiping Peng:
XDailyDialog: A Multilingual Parallel Dialogue Corpus. ACL (1) 2023: 12240-12253 - 2022
- [c7]Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren:
MIC: Model-agnostic Integrated Cross-channel Recommender. CIKM 2022: 3400-3409 - [c6]Yu Fei, Zhao Meng, Ping Nie, Roger Wattenhofer, Mrinmaya Sachan:
Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations. EMNLP 2022: 8560-8579 - [i7]Yujie Lu, Huiliang Zhang, Ping Nie, Weixi Feng, Wenda Xu, Xin Eric Wang, William Yang Wang:
Anticipating the Unseen Discrepancy for Vision and Language Navigation. CoRR abs/2209.04725 (2022) - [i6]Yu Fei, Ping Nie, Zhao Meng, Roger Wattenhofer, Mrinmaya Sachan:
Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations. CoRR abs/2210.16637 (2022) - 2021
- [c5]Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song:
Answering Any-hop Open-domain Questions with Iterative Document Reranking. SIGIR 2021: 481-490 - [i5]Yujie Lu, Ping Nie, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren:
MIC: Model-agnostic Integrated Cross-channel Recommenders. CoRR abs/2110.11570 (2021) - 2020
- [c4]Jie Cai, Zhengzhou Zhu, Ping Nie, Qian Liu:
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension. SIGIR 2020: 1665-1668 - [c3]Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. SIGIR 2020: 1829-1832 - [i4]Yuyu Zhang, Ping Nie, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. CoRR abs/2002.12591 (2020) - [i3]Jie Cai, Zhengzhou Zhu, Ping Nie, Qian Liu:
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension. CoRR abs/2006.01346 (2020) - [i2]Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song:
DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering. CoRR abs/2009.07465 (2020)
2010 – 2019
- 2019
- [j1]Zun Niu, Ping Nie, Lin Tao, Junren Sun, Bocheng Zhu:
RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones. Sensors 19(14): 3228 (2019) - [c2]Yuxian Meng, Wei Wu, Fei Wang, Xiaoya Li, Ping Nie, Fan Yin, Muyu Li, Qinghong Han, Xiaofei Sun, Jiwei Li:
Glyce: Glyph-vectors for Chinese Character Representations. NeurIPS 2019: 2742-2753 - [i1]Yuxian Meng, Wei Wu, Fei Wang, Xiaoya Li, Ping Nie, Fan Yin, Muyu Li, Qinghong Han, Xiaofei Sun, Jiwei Li:
Glyce: Glyph-vectors for Chinese Character Representations. CoRR abs/1901.10125 (2019) - 2016
- [c1]Jinghua Wang, Yue Wang, Shiwen Xing, Bingyi Li, Yizhuang Xie, Ping Nie, Kun Tang:
A new reconfigurable methodology to implement the 8-bit linear quantization for real-time SAR. ISCIT 2016: 171-174
Coauthor Index
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last updated on 2024-11-27 21:23 CET by the dblp team
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