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2020 – today
- 2025
[j4]Huiliang Zhang
, Ping Nie, Lijun Sun, Benoit Boulet:
Nearest Neighbor Multivariate Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12606-12618 (2025)- [c10]Huaye Zeng, Dongfu Jiang, Haozhe Wang, Ping Nie, Xiaotong Chen, Wenhu Chen:
ACECODER: Acing Coder RL via Automated Test-Case Synthesis. ACL (1) 2025: 12023-12040 - [i27]Huaye Zeng, Dongfu Jiang, Haozhe Wang, Ping Nie, Xiaotong Chen, Wenhu Chen:
ACECODER: Acing Coder RL via Automated Test-Case Synthesis. CoRR abs/2502.01718 (2025) - [i26]Yiming Jia, Jiachen Li, Xiang Yue, Bo Li, Ping Nie, Kai Zou, Wenhu Chen:
VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search. CoRR abs/2503.10582 (2025) - [i25]Alexander Murphy, Mohd Sanad Zaki Rizvi, Aden Haussmann, Ping Nie, Guifu Liu, Aryo Pradipta Gema, Pasquale Minervini:
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering. CoRR abs/2503.23415 (2025) - [i24]Yubo Wang, Xueguang Ma, Ping Nie, Huaye Zeng, Zhiheng Lyu, Yuxuan Zhang, Benjamin Schneider, Yi Lu, Xiang Yue, Wenhu Chen:
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations. CoRR abs/2504.00824 (2025) - [i23]Zhicong Wu, Hongbin Xu, Gang Xu, Ping Nie, Zhixin Yan, Jinkai Zheng, Liangqiong Qu, Ming Li, Liqiang Nie:
TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting. CoRR abs/2504.09588 (2025) - [i22]Raghuveer Thirukovalluru, Rui Meng, Ye Liu, Karthikeyan K, Mingyi Su, Ping Nie, Semih Yavuz, Yingbo Zhou, Wenhu Chen, Bhuwan Dhingra:
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining. CoRR abs/2505.11293 (2025) - [i21]Huiliang Zhang, Ping Nie, Lijun Sun, Benoit Boulet:
Nearest Neighbor Multivariate Time Series Forecasting. CoRR abs/2505.11625 (2025) - [i20]Wentao Ma, Weiming Ren, Yiming Jia, Zhuofeng Li, Ping Nie, Ge Zhang, Wenhu Chen:
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation. CoRR abs/2505.14640 (2025) - [i19]Charles Godfrey, Ping Nie, Natalia Ostapuk, David Ken, Shang Gao, Souheil Inati:
Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales. CoRR abs/2505.19334 (2025) - [i18]Jialin Yang, Dongfu Jiang, Lipeng He, Sherman Siu, Yuxuan Zhang, Disen Liao, Zhuofeng Li, Huaye Zeng, Yiming Jia, Haozhe Wang, Benjamin Schneider, Chi Ruan, Wentao Ma, Zhiheng Lyu, Yifei Wang, Yi Lu, Quy Duc Do, Ziyan Jiang, Ping Nie, Wenhu Chen:
StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs. CoRR abs/2505.20139 (2025) - [i17]Yubo Wang, Ping Nie, Kai Zou, Lijun Wu, Wenhu Chen:
Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem. CoRR abs/2506.03295 (2025) - [i16]Yuansheng Ni, Ping Nie, Kai Zou, Xiang Yue, Wenhu Chen:
VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation. CoRR abs/2506.03930 (2025) - [i15]Wenran Zhang, Huihuan Luo, Linda Wei, Ping Nie, Yiqun Wu, Dedong Yu:
Dissecting the Dental Lung Cancer Axis via Mendelian Randomization and Mediation Analysis. CoRR abs/2507.18287 (2025) - [i14]Zijian Chen, Xueguang Ma, Shengyao Zhuang, Ping Nie, Kai Zou, Andrew Liu, Joshua Green, Kshama Patel, Ruoxi Meng, Mingyi Su, Sahel Sharifymoghaddam, Yanxi Li, Haoran Hong, Xinyu Shi, Xuye Liu, Nandan Thakur, Crystina Zhang, Luyu Gao, Wenhu Chen, Jimmy Lin:
BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent. CoRR abs/2508.06600 (2025) - [i13]Dongfu Jiang, Yi Lu, Zhuofeng Li, Zhiheng Lyu, Ping Nie, Haozhe Wang, Alex Su, Hui Chen, Kai Zou, Chao Du, Tianyu Pang, Wenhu Chen:
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use. CoRR abs/2509.01055 (2025) - [i12]Xuan He, Dongfu Jiang, Ping Nie, Minghao Liu, Zhengxuan Jiang, Mingyi Su, Wentao Ma, Junru Lin, Chun Ye, Yi Lu, Keming Wu, Benjamin Schneider, Quy Duc Do, Zhuofeng Li, Yiming Jia, Yuxuan Zhang, Guo Cheng, Haozhe Wang, Wangchunshu Zhou, Qunshu Lin, Yuanxing Zhang, Ge Zhang, Wenhao Huang, Wenhu Chen:
VideoScore2: Think before You Score in Generative Video Evaluation. CoRR abs/2509.22799 (2025) - [i11]Keming Wu, Sicong Jiang, Max Ku, Ping Nie, Minghao Liu, Wenhu Chen:
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing. CoRR abs/2509.26346 (2025) - 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 - [i10]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) - [i9]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) - [i8]Yao Fu, Yinsicheng Jiang, Yeqi Huang, Ping Nie, Zhan Lu, Leyang Xue, Congjie He, Man-Kit Sit, Jilong Xue, Li Dong, Ziming Miao, Kai Zou, Edoardo M. Ponti, Luo Mai:
MoE-CAP: Cost-Accuracy-Performance Benchmarking for Mixture-of-Experts Systems. CoRR abs/2412.07067 (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 2025-10-28 23:09 CET by the dblp team
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