Xiaomingbot: A Multilingual Robot News Reporter. - Runxin Xu; Jun Cao; Mingxuan Wang; Jiaze Chen; Hao Zhou 012; Ying Zeng; Yuping Wang 005; Li Chen; Xiang Yin 006; Xijin Zhang; Songcheng Jiang; Yuxuan Wang 002; et al. (ACL (demo), 2020)

Double Graph Based Reasoning for Document-level Relation Extraction. - Shuang Zeng; Runxin Xu; Baobao Chang; Lei Li 005 (EMNLP (1), 2020)

Volctrans Parallel Corpus Filtering System for WMT 2020. - Runxin Xu; Zhuo Zhi; Jun Cao; Mingxuan Wang; Lei Li 005 (WMT@EMNLP, 2020)

Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs. - Xunpeng Huang; Hao Zhou 012; Runxin Xu; Zhe Wang; Lei Li 005 (CoRR, 2020)

ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. - Xunpeng Huang; Runxin Xu; Hao Zhou 012; Zhe Wang; Zhengyang Liu 002; Lei Li 005 (AAAI, 2021)

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. - Runxin Xu; Tianyu Liu 001; Lei Li 005; Baobao Chang (ACL/IJCNLP (1), 2021)

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Damai Dai; Baobao Chang; Zhifang Sui (CIKM, 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 002 (EMNLP (1), 2021)

Explicit Interaction Network for Aspect Sentiment Triplet Extraction. - Peiyi Wang; Lianzhe Huang; Tianyu Liu 001; Damai Dai; Runxin Xu; Houfeng Wang; Baobao Chang; Zhifang Sui (CoRR, 2021)

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. - Runxin Xu; Fuli Luo; Chengyu Wang 001; Baobao Chang; Jun Huang 007; Songfang Huang; Fei Huang 002 (AAAI, 2022)

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. - Liang Chen 024; Runxin Xu; Baobao Chang (ACL (2), 2022)

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency. - Yanyang Li; Fuli Luo; Runxin Xu; Songfang Huang; Fei Huang 002; Liwei Wang 009 (ACL (1), 2022)

S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. - Runxin Xu; Fuli Luo; Baobao Chang; Songfang Huang; Fei Huang 002 (ACL (2), 2022)

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. - Liang Chen 024; Peiyi Wang; Runxin Xu; Tianyu Liu 001; Zhifang Sui; Baobao Chang (NAACL-HLT (Findings), 2022)

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Qingyu Zhou; Yunbo Cao; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. - Runxin Xu; Peiyi Wang; Tianyu Liu 001; Shuang Zeng; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

A Double-Graph Based Framework for Frame Semantic Parsing. - Ce Zheng; Xudong Chen; Runxin Xu; Baobao Chang (NAACL-HLT, 2022)

On Effectively Learning of Knowledge in Continual Pre-training. - Cunxiang Wang; Fuli Luo; Yanyang Li; Runxin Xu; Fei Huang 002; Yue Zhang 004 (CoRR, 2022)

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 (EMNLP, 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 (EMNLP (Findings), 2023)

TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables. - Jiaxing Lin; Runxin Xu; Baobao Chang (ICASSP, 2023)

Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base. - Cunxiang Wang; Fuli Luo; Yanyang Li; Runxin Xu; Fei Huang 002; Yue Zhang 004 (NLPCC (2), 2023)

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. - Ziyun Xu; Chengyu Wang 001; Minghui Qiu; Fuli Luo; Runxin Xu; Songfang Huang; Jun Huang 007 (WSDM, 2023)

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. - Lei Li 039; Yuqi Wang 003; Runxin Xu; Peiyi Wang; Xiachong Feng; Lingpeng Kong; Qi Liu 049 (ACL (1), 2024)

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. - Peiyi Wang; Lei Li 039; Zhihong Shao; Runxin Xu; Damai Dai; Yifei Li 005; Deli Chen; Yu Wu; Zhifang Sui (ACL (1), 2024)

Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models. - Zihan Wang 010; Deli Chen; Damai Dai; Runxin Xu; Zhuoshu Li; Yu Wu (EMNLP, 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)

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; et al. (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 005; Wen Xiao; Junjie Hu 001; Tianyu Liu 001; et al. (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (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; Dayiheng Liu; Chang Zhou 005; Wen Xiao; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2025)

CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3. - Liang Chen 024; Haozhe Zhao; Yinzhen Huang; Yang Luo; Tsekai Lin; Weichu Xie; Ruoyu Wu; Peiyi Wang; Runxin Xu; Ming Wu; Baobao Chang (CIKM, 2025)

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. - Bofei Gao; Feifan Song 001; Zhe Yang 013; Zefan Cai; Yibo Miao; Qingxiu Dong; Lei Li 039; Chenghao Ma; Liang Chen 024; Runxin Xu; Zhengyang Tang; Benyou Wang; et al. (ICLR, 2025)

CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction. - Junlong Li; Daya Guo; Dejian Yang; Runxin Xu; Yu Wu 024; Junxian He (ICML, 2025)

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning. - Daya Guo; Dejian Yang; Haowei Zhang; Junxiao Song; Peiyi Wang; Qihao Zhu; Runxin Xu; Ruoyu Zhang; Shirong Ma; Xiao Bi; Xiaokang Zhang; Xingkai Yu; et al. (Nat., 2025)

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction. - Junlong Li; Daya Guo; Dejian Yang; Runxin Xu; Yu Wu 024; Junxian He (CoRR, 2025)

Inference-Time Scaling for Generalist Reward Modeling. - Zijun Liu; Peiyi Wang; Runxin Xu; Shirong Ma; Chong Ruan; Peng Li; Yang Liu; Yu Wu (CoRR, 2025)