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Xiang Geng
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2020 – today
- 2024
- [j4]Shunfan He
, Xiang Geng
Online Compression of Multichannel Power Waveform Data in Distribution Grid With Novel Tensor Method. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c17]Xu Huang, Zhirui Zhang, Xiang Geng, Yichao Du, Jiajun Chen, Shujian Huang:
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation. ACL (Findings) 2024: 3546-3562 - [c16]Shuaijie She, Wei Zou, Shujian Huang, Wenhao Zhu, Xiang Liu, Xiang Geng, Jiajun Chen:
MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization. ACL (1) 2024: 10015-10027 - [c15]Haofei Zhao, Yilun Liu, Shimin Tao, Weibin Meng, Yimeng Chen, Xiang Geng, Chang Su, Min Zhang, Hao Yang:
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation. IJCNN 2024: 1-10 - [i10]Xu Huang, Zhirui Zhang, Xiang Geng, Yichao Du, Jiajun Chen, Shujian Huang:
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation. CoRR abs/2401.06568 (2024) - [i9]Shuaijie She, Shujian Huang, Wei Zou, Wenhao Zhu, Xiang Liu, Xiang Geng, Jiajun Chen:
MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization. CoRR abs/2401.06838 (2024) - [i8]Haofei Zhao, Yilun Liu, Shimin Tao, Weibin Meng, Yimeng Chen, Xiang Geng, Chang Su, Min Zhang, Hao Yang:
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation. CoRR abs/2403.14118 (2024) - [i7]Xiang Geng, Ming Zhu, Jiahuan Li, Zhejian Lai, Wei Zou, Shuaijie She, Jiaxin Guo, Xiaofeng Zhao, Yinglu Li, Yuang Li, Chang Su, Yanqing Zhao, Xinglin Lyu, Min Zhang, Jiajun Chen, Hao Yang, Shujian Huang:
Why Not Transform Chat Large Language Models to Non-English? CoRR abs/2405.13923 (2024) - 2023
- [c14]Xiang Geng, Yu Zhang, Jiahuan Li, Shujian Huang, Hao Yang, Shimin Tao, Yimeng Chen, Ning Xie, Jiajun Chen:
Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning. AAAI 2023: 12827-12835 - [c13]Shuaijie She, Xiang Geng, Shujian Huang, Jiajun Chen:
CoP: Factual Inconsistency Detection by Controlling the Preference. AAAI 2023: 13556-13563 - [c12]Xiang Geng, Yu Zhang, Zhejian Lai, Shuaijie She, Wei Zou, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang:
Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search. EMNLP 2023: 12434-12447 - [c11]Xiang Geng, Zhejian Lai, Yu Zhang, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang:
Unify Word-level and Span-level Tasks: NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task. WMT 2023: 829-834 - [i6]Xiang Geng, Zhejian Lai, Yu Zhang, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang:
NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task. CoRR abs/2309.13230 (2023) - 2022
- [c10]Yu Zhang, Xiang Geng, Shujian Huang, Jiajun Chen:
NJUNLP's Submission for CCMT 2022 Quality Estimation Task. CCMT 2022: 143-150 - [c9]Xiang Geng, Yu Zhang, Shujian Huang, Shimin Tao, Hao Yang, Jiajun Chen:
NJUNLP's Participation for the WMT2022 Quality Estimation Shared Task. WMT 2022: 615-620 - [c8]Shimin Tao, Chang Su, Miaomiao Ma, Hao Yang, Xiang Geng, Shujian Huang, Min Zhang, Jiaxin Guo, Minghan Wang, Yinglu Li:
CrossQE: HW-TSC 2022 Submission for the Quality Estimation Shared Task. WMT 2022: 646-652 - [i5]Shuaijie She, Xiang Geng, Shujian Huang, Jiajun Chen:
CoP: Factual Inconsistency Detection by Controlling the Preference. CoRR abs/2212.01611 (2022) - 2021
- [j3]Bin Gu
Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms. Pattern Recognit. 109: 107592 (2021) - [j2]Bin Gu
Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3677-3689 (2021) - [c7]Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen:
DirectQE: Direct Pretraining for Machine Translation Quality Estimation. AAAI 2021: 12719-12727 - [c6]Yimeng Chen, Chang Su, Yingtao Zhang, Yuxia Wang, Xiang Geng, Hao Yang, Shimin Tao, Jiaxin Guo, Minghan Wang, Min Zhang, Yujia Liu, Shujian Huang:
HW-TSC's Participation at WMT 2021 Quality Estimation Shared Task. WMT@EMNLP 2021: 890-896 - [i4]Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang:
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm. CoRR abs/2102.09026 (2021) - [i3]Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen:
DirectQE: Direct Pretraining for Machine Translation Quality Estimation. CoRR abs/2105.07149 (2021) - 2020
- [c5]Qu Cui, Xiang Geng, Shujian Huang, Jiajun Chen:
NJUNLP's Submission for CCMT20 Quality Estimation Task. CCMT 2020: 114-122 - [c4]Qu Cui, Xiang Geng, Shujian Huang, Jiajun Chen:
NJU's submission to the WMT20 QE Shared Task. WMT@EMNLP 2020: 1004-1009
2010 – 2019
- 2019
- [j1]Bin Gu, Xiang Geng, Xiang Li, Guansheng Zheng:
Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm. Neural Networks 118: 352-362 (2019) - [c3]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. IJCAI 2019: 2364-2370 - [c2]Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. IJCAI 2019: 3418-3424 - [i2]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. CoRR abs/1907.11584 (2019) - [i1]Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. CoRR abs/1907.12416 (2019) - 2018
- [c1]Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng:
Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs. IJCAI 2018: 2170-2176
Coauthor Index
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last updated on 2024-10-12 22:59 CEST by the dblp team
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