Runxin Xu

55 papers A* 6A 3Misc 1Journal 28Unranked 17
YearRankTypeTitle / Venue / Authors
2025 A conf
CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3.
CIKM
Liang Chen, Haozhe Zhao, Yinzhen Huang, Yang Luo, Tsekai Lin, Weichu Xie, Ruoyu Wu, Peiyi Wang, Runxin Xu, Ming Wu, Baobao Chang
2025 J jnl
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction.
CoRR
Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He
2025 A* conf
CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction.
ICML
Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He
2025 J jnl
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning.
Nat.
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Peiyi Wang, Qihao Zhu, Runxin Xu, Ruoyu Zhang, Shirong Ma, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Honghui Ding, Huazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi Li, Jingchang Chen, Jingyang Yuan, Jinhao Tu, Junjie Qiu, Junlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaichao You, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingxu Zhou, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li, Shuang Zhou, Shaoqing Wu, Tao Yun, Tian Pei, Tianyu Sun, Tao Wang, Wangding Zeng, Wen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, W. L. Xiao, Wei An, Xiaodong Liu, Xiaohan Wang, Xiaokang Chen, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xiaowen Sun, Xiaoxiang Wang, Xinnan Song, Xinyi Zhou, Xianzu Wang, Xinxia Shan, Y. K. Li, Y. Q. Wang, Y. X. Wei, Yang Zhang, Yanhong Xu, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Yu, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yuan Ou, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Y. X. Zhu, Yanping Huang, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Ying Tang, Yukun Zha, Yuting Yan, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhicheng Ma, Zhigang Yan, Zhiyu Wu, Zihui Gu, Zijia Zhu, Zijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Zizheng Pan, Zhen Huang, Zhipeng Xu, Zhongyu Zhang, Zhen Zhang
2025 J jnl
Inference-Time Scaling for Generalist Reward Modeling.
CoRR
Zijun Liu, Peiyi Wang, Runxin Xu, Shirong Ma, Chong Ruan, Peng Li, Yang Liu, Yu Wu
2025 — conf
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.
ACL (Findings)
Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Tianyu Liu, Baobao Chang
2025 A* conf
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models.
ICLR
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
2024 J jnl
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.
CoRR
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
2024 J jnl
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
CoRR
Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo
2024 J jnl
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.
CoRR
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
2024 A* conf
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models.
EMNLP
Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu
2024 J jnl
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models.
CoRR
Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu
2024 — conf
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.
ACL (1)
Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui
2024 — conf
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.
ACL (1)
Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu
2024 J jnl
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.
CoRR
Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu
2024 J jnl
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.
CoRR
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
2024 J jnl
Towards a Unified View of Preference Learning for Large Language Models: A Survey.
CoRR
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
2023 A* conf
An Iteratively Parallel Generation Method with the Pre-Filling Strategy for Document-level Event Extraction.
EMNLP
Guanhua Huang, Runxin Xu, Ying Zeng, Jiaze Chen, Zhouwang Yang, Weinan E
2023 — conf
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization.
EMNLP (Findings)
Shoujie Tong, Heming Xia, Damai Dai, Runxin Xu, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
2023 — conf
Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base.
NLPCC (2)
Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang
2023 A conf
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.
WSDM
Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang
2023 Misc conf
TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables.
ICASSP
Jiaxing Lin, Runxin Xu, Baobao Chang
2022 — conf
A Double-Graph Based Framework for Frame Semantic Parsing.
NAACL-HLT
Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang
2022 J jnl
A Double-Graph Based Framework for Frame Semantic Parsing.
CoRR
Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang
2022 — conf
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction.
NAACL-HLT
Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui
2022 J jnl
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction.
CoRR
Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui
2022 — conf
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs.
NAACL-HLT (Findings)
Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
2022 J jnl
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs.
CoRR
Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
2022 — conf
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling.
NAACL-HLT
Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
2022 — conf
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation.
ACL (2)
Liang Chen, Runxin Xu, Baobao Chang
2022 J jnl
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation.
CoRR
Liang Chen, Runxin Xu, Baobao Chang
2022 A* conf
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.
AAAI
Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang
2022 J jnl
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.
CoRR
Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang
2022 J jnl
On Effectively Learning of Knowledge in Continual Pre-training.
CoRR
Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang
2022 — conf
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency.
ACL (1)
Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang
2022 J jnl
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency.
CoRR
Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang
2022 — conf
S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method.
ACL (2)
Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang
2021 A* conf
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization.
AAAI
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li
2021 J jnl
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling.
CoRR
Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
2021 A conf
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification.
CIKM
Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui
2021 J jnl
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification.
CoRR
Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui
2021 — conf
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.
ACL/IJCNLP (1)
Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang
2021 J jnl
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.
CoRR
Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang
2021 J jnl
Explicit Interaction Network for Aspect Sentiment Triplet Extraction.
CoRR
Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui
2021 J jnl
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.
CoRR
Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang
2021 — conf
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.
EMNLP (1)
Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang
2021 J jnl
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.
CoRR
Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang
2020 J jnl
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization.
CoRR
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li
2020 J jnl
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs.
CoRR
Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li
2020 — conf
Double Graph Based Reasoning for Document-level Relation Extraction.
EMNLP (1)
Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li
2020 J jnl
Double Graph Based Reasoning for Document-level Relation Extraction.
CoRR
Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li
2020 — conf
Volctrans Parallel Corpus Filtering System for WMT 2020.
WMT@EMNLP
Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei Li
2020 J jnl
Volctrans Parallel Corpus Filtering System for WMT 2020.
CoRR
Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei Li
2020 — conf
Xiaomingbot: A Multilingual Robot News Reporter.
ACL (demo)
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
2020 J jnl
Xiaomingbot: A Multilingual Robot News Reporter.
CoRR
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