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2020 – today
- 2024
[c23]Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui:
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. ACL (1) 2024: 9426-9439- [c22]Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu:
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. ACL (1) 2024: 14369-14387 - [c21]Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu:
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models. EMNLP 2024: 784-801 - [i26]Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo:
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models. CoRR abs/2402.03300 (2024) - [i25]Lei Li, Yuqi Wang
, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu:
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. CoRR abs/2403.00231 (2024) - [i24]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:
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. CoRR abs/2405.04434 (2024) - [i23]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:
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence. CoRR abs/2406.11931 (2024) - [i22]Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang:
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR abs/2406.14024 (2024) - [i21]Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Y. Wu:
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models. CoRR abs/2407.01906 (2024) - [i20]Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - [i19]Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang:
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models. CoRR abs/2410.07985 (2024) - 2023
- [c20]Shoujie Tong, Heming Xia, Damai Dai, Runxin Xu, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization. EMNLP (Findings) 2023: 5214-5227 - [c19]Guanhua Huang, Runxin Xu, Ying Zeng, Jiaze Chen, Zhouwang Yang, Weinan E:
An Iteratively Parallel Generation Method with the Pre-Filling Strategy for Document-level Event Extraction. EMNLP 2023: 10834-10852 - [c18]Jiaxing Lin, Runxin Xu, Baobao Chang:
TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables. ICASSP 2023: 1-5 - [c17]Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang:
Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base. NLPCC (2) 2023: 444-456 - [c16]Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. WSDM 2023: 438-446 - 2022
- [c15]Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. AAAI 2022: 11547-11555 - [c14]Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang:
S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. ACL (2) 2022: 530-537 - [c13]Liang Chen, Runxin Xu, Baobao Chang:
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. ACL (2) 2022: 665-671 - [c12]Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang:
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency. ACL (1) 2022: 1852-1865 - [c11]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) 2022: 2482-2496 - [c10]Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang:
A Double-Graph Based Framework for Frame Semantic Parsing. NAACL-HLT 2022: 4998-5011 - [c9]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. NAACL-HLT 2022: 5012-5024 - [c8]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT 2022: 5025-5036 - [i18]Liang Chen, Runxin Xu, Baobao Chang:
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. CoRR abs/2203.02889 (2022) - [i17]Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. CoRR abs/2204.00166 (2022) - [i16]Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang:
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency. CoRR abs/2204.02601 (2022) - [i15]Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang:
On Effectively Learning of Knowledge in Continual Pre-training. CoRR abs/2204.07994 (2022) - [i14]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR abs/2204.08875 (2022) - [i13]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR abs/2205.00241 (2022) - [i12]Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang:
A Double-Graph Based Framework for Frame Semantic Parsing. CoRR abs/2206.09158 (2022) - 2021
- [c7]Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li:
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. AAAI 2021: 7857-7864 - [c6]Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang:
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. ACL/IJCNLP (1) 2021: 3533-3546 - [c5]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CIKM 2021: 1969-1978 - [c4]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. EMNLP (1) 2021: 9514-9528 - [i11]Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang:
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. CoRR abs/2105.14924 (2021) - [i10]Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui:
Explicit Interaction Network for Aspect Sentiment Triplet Extraction. CoRR abs/2106.11148 (2021) - [i9]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CoRR abs/2108.12844 (2021) - [i8]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. CoRR abs/2109.05687 (2021) - [i7]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. CoRR abs/2109.13023 (2021) - [i6]Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. CoRR abs/2112.07198 (2021) - 2020
- [c3]Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li:
Xiaomingbot: A Multilingual Robot News Reporter. ACL (demo) 2020: 1-8 - [c2]Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li:
Double Graph Based Reasoning for Document-level Relation Extraction. EMNLP (1) 2020: 1630-1640 - [c1]Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei Li:
Volctrans Parallel Corpus Filtering System for WMT 2020. WMT@EMNLP 2020: 985-990 - [i5]Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li:
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs. CoRR abs/2006.07037 (2020) - [i4]Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li:
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. CoRR abs/2006.07065 (2020) - [i3]Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li:
Xiaomingbot: A Multilingual Robot News Reporter. CoRR abs/2007.08005 (2020) - [i2]Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li:
Double Graph Based Reasoning for Document-level Relation Extraction. CoRR abs/2009.13752 (2020) - [i1]Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei Li:
Volctrans Parallel Corpus Filtering System for WMT 2020. CoRR abs/2010.14029 (2020)
Coauthor Index
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