Xiang Geng

According to our database, Xiang Geng authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation.

Haofei Zhao, Yilun Liu, Shimin Tao, Weibin Meng, Yimeng Chen, Xiang Geng, Chang Su, Min Zhang, Hao Yang

CoRR, 2024

MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization.

Shuaijie She, Shujian Huang, Wei Zou, Wenhao Zhu, Xiang Liu, Xiang Geng, Jiajun Chen

CoRR, 2024

Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation.

Xu Huang, Zhirui Zhang, Xiang Geng, Yichao Du, Jiajun Chen, Shujian Huang

CoRR, 2024

2023

NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task.

Xiang Geng, Zhejian Lai, Yu Zhang, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang

CoRR, 2023

Unify Word-level and Span-level Tasks: NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task.

Xiang Geng, Zhejian Lai, Yu Zhang, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang

Proceedings of the Eighth Conference on Machine Translation, 2023

Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search.

Xiang Geng, Yu Zhang, Zhejian Lai, Shuaijie She, Wei Zou, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CoP: Factual Inconsistency Detection by Controlling the Preference.

Shuaijie She, Xiang Geng, Shujian Huang, Jiajun Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning.

Xiang Geng, Yu Zhang, Jiahuan Li, Shujian Huang, Hao Yang, Shimin Tao, Yimeng Chen, Ning Xie, Jiajun Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CrossQE: HW-TSC 2022 Submission for the Quality Estimation Shared Task.

Shimin Tao, Chang Su, Miaomiao Ma, Hao Yang, Xiang Geng, Shujian Huang, Min Zhang, Jiaxin Guo, Minghan Wang, Yinglu Li

Proceedings of the Seventh Conference on Machine Translation, 2022

NJUNLP's Participation for the WMT2022 Quality Estimation Shared Task.

Xiang Geng, Yu Zhang, Shujian Huang, Shimin Tao, Hao Yang, Jiajun Chen

Proceedings of the Seventh Conference on Machine Translation, 2022

NJUNLP's Submission for CCMT 2022 Quality Estimation Task.

Yu Zhang, Xiang Geng, Shujian Huang, Jiajun Chen

Proceedings of the Machine Translation - 18th China Conference, 2022

2021

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.

Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang

IEEE Trans. Neural Networks Learn. Syst., 2021

Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms.

Bin Gu, Xiang Geng, Wanli Shi, Yingying Shan, Yufang Huang, Zhijie Wang, Guansheng Zheng

Pattern Recognit., 2021

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm.

Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang

CoRR, 2021

HW-TSC's Participation at WMT 2021 Quality Estimation Shared Task.

Yimeng Chen, Chang Su, Yingtao Zhang, Yuxia Wang, Xiang Geng, Hao Yang, Shimin Tao, Jiaxin Guo, Minghan Wang, Min Zhang, Yujia Liu, Shujian Huang

Proceedings of the Sixth Conference on Machine Translation, 2021

DirectQE: Direct Pretraining for Machine Translation Quality Estimation.

Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

NJU's submission to the WMT20 QE Shared Task.

Qu Cui, Xiang Geng, Shujian Huang, Jiajun Chen

Proceedings of the Fifth Conference on Machine Translation, 2020

NJUNLP's Submission for CCMT20 Quality Estimation Task.

Qu Cui, Xiang Geng, Shujian Huang, Jiajun Chen

Proceedings of the Machine Translation - 16th China Conference, 2020

2019

Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm.

Bin Gu, Xiang Geng, Xiang Li, Guansheng Zheng

Neural Networks, 2019

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.

Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients.

Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs.

Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018