Runxin Xu

According to our database, Runxin Xu authored at least 33 papers between 2020 and 2024.

Collaborative distances:

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

2024

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

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

CoRR, 2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.

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

CoRR, 2024

Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models.

Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Y. Wu

CoRR, 2024

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.

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

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

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo

CoRR, 2024

Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models.

Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui

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

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.

Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu

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

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

TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables.

Jiaxing Lin, Runxin Xu, Baobao Chang

Proceedings of the IEEE International Conference on Acoustics, 2023

Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization.

Shoujie Tong, Heming Xia, Damai Dai, Runxin Xu, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

An Iteratively Parallel Generation Method with the Pre-Filling Strategy for Document-level Event Extraction.

Guanhua Huang, Runxin Xu, Ying Zeng, Jiaze Chen, Zhouwang Yang, Weinan E

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

2022

On Effectively Learning of Knowledge in Continual Pre-training.

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

CoRR, 2022

A Double-Graph Based Framework for Frame Semantic Parsing.

Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction.

Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling.

Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs.

Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 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

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation.

Liang Chen, Runxin Xu, Baobao Chang

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

Explicit Interaction Network for Aspect Sentiment Triplet Extraction.

Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui

CoRR, 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

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification.

Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.

Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang

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

ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization.

Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li

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

2020

Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs.

Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li

CoRR, 2020

Volctrans Parallel Corpus Filtering System for WMT 2020.

Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei Li

Proceedings of the Fifth Conference on Machine Translation, 2020

Double Graph Based Reasoning for Document-level Relation Extraction.

Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Xiaomingbot: A Multilingual Robot News Reporter.

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020