Fuli Luo

According to our database, Fuli Luo authored at least 47 papers between 2018 and 2024.

Collaborative distances:

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

2024

Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systems.

Fuli Luo, Tengfei Cui, Lei Wang, Zheng Wang, Shupeng Gao, Li Han

Int. J. Digit. Earth, December, 2024

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search.

Huajian Xin, Z. Z. Ren, Junxiao Song, Zhihong Shao, Wanjia Zhao, Haocheng Wang, Bo Liu, Liyue Zhang, Xuan Lu, Qiushi Du, Wenjun Gao, Qihao Zhu, Dejian Yang, Zhibin Gou, Z. F. Wu, Fuli Luo, Chong Ruan

CoRR, 2024

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

DeepSeek-AI, Qihao Zhu, Daya Guo, Zhihong Shao, Dejian Yang, Peiyi Wang, Runxin Xu, Y. Wu, Yukun Li, Huazuo Gao, Shirong Ma, Wangding Zeng, Xiao Bi, Zihui Gu, Hanwei Xu, Damai Dai, Kai Dong, Liyue Zhang, Yishi Piao, Zhibin Gou, Zhenda Xie, Zhewen Hao, Bingxuan Wang, Junxiao Song, Deli Chen, Xin Xie, Kang Guan, Yuxiang You, Aixin Liu, Qiushi Du, Wenjun Gao, Xuan Lu, Qinyu Chen, Yaohui Wang, Chengqi Deng, Jiashi Li, Chenggang Zhao, Chong Ruan, Fuli Luo, Wenfeng Liang

CoRR, 2024

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

DeepSeek-AI, Aixin Liu, Bei Feng, Bin Wang, Bingxuan Wang, Bo Liu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, Jianzhong Guo, Jiaqi Ni, Jiashi Li, Jin Chen, Jingyang Yuan, Junjie Qiu, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruizhe Pan, Runxin Xu, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Size Zheng, Tao Wang, Tian Pei, Tian Yuan, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaosha Chen, Xiaotao Nie, Xiaowen Sun

CoRR, 2024

DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence.

Daya Guo, Qihao Zhu, Dejian Yang, Zhenda Xie, Kai Dong, Wentao Zhang, Guanting Chen, Xiao Bi, Y. Wu, Y. K. Li, Fuli Luo, Yingfei Xiong, Wenfeng Liang

CoRR, 2024

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, Jianzhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, Alex X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou

CoRR, 2024

Quantification of Correlation Between Geometric Characteristics for The Hexagonal Discrete Global Grid Systems.

Fuli Luo, Qiang Lu, Zheng Wang

Proceedings of the IGARSS 2024, 2024

Comparative Analysis of Two Angle Normalization Approaches for SAR Backscatter: Simulation and Satellite Observation-Based Evaluation in Soil Moisture Retrieval.

Dong Fan, Zhen Wang, Fuli Luo, Jiliu Hu, Junxuan Liu, Bo-Hui Tang

Proceedings of the IGARSS 2024, 2024

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Construction of quality evaluation indicator system for diamond discrete global grid systems.

Fuli Luo, Shupeng Gao, Xinpeng Wang, Aimei Chen, Zheng Wang, Yalu Li

Int. J. Digit. Earth, December, 2023

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.

Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base.

Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

2022

A GtoG Direct Coding Mapping Method for Multi-Type Global Discrete Grids Based on Space Filling Curves.

Yalu Li, Xuesheng Zhao, Wenbin Sun, Guangsong Wang, Fuli Luo, Zheng Wang, Yuanzheng Duan

ISPRS Int. J. Geo Inf., December, 2022

On Effectively Learning of Knowledge in Continual Pre-training.

Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang

CoRR, 2022

Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.

Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Unified Prompt Tuning for Few-shot Text Classification.

Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method.

Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency.

Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.

Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Correlation Analysis and Reconstruction of the Geometric Evaluation Indicator System of the Discrete Global Grid.

Zheng Wang, Xuesheng Zhao, Wenbin Sun, Fuli Luo, Yalu Li, Yuanzheng Duan

ISPRS Int. J. Geo Inf., 2021

SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels.

Chenliang Li, Ming Yan, Haiyang Xu, Fuli Luo, Wei Wang, Bin Bi, Songfang Huang

CoRR, 2021

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions.

Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Tianyu Liu, Zhifang Sui, Baobao Chang

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.

Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Rethinking Denoised Auto-Encoding in Language Pre-Training.

Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun, Songfang Huang, Fei Huang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation.

Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-Granularity Contrasting for Cross-Lingual Pre-Training.

Shicheng Li, Pengcheng Yang, Fuli Luo, Jun Xie

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation.

Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si

CoRR, 2020

CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations.

Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun

CoRR, 2020

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions.

Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui

CoRR, 2020

2019

Cross-language document summarization via extraction and ranking of multiple summaries.

Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang, Jin-ge Yao

Knowl. Inf. Syst., 2019

Learning Unsupervised Word Mapping via Maximum Mean Discrepancy.

Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling.

Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun

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

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer.

Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui

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

Pun-GAN: Generative Adversarial Network for Pun Generation.

Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information.

Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification.

Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge.

Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction.

Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer.

Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Fine-grained Text Sentiment Transfer.

Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning to Control the Fine-grained Sentiment for Story Ending Generation.

Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Comprehensive Description Generation from Factual Attribute-value Tables.

Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables.

Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks.

Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy.

Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang, Xu Sun

CoRR, 2018

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention.

Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Incorporating Glosses into Neural Word Sense Disambiguation.

Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018