| 2025 | ACL | 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, Wen Xiao, Tianyu Liu, Baobao Chang |
| 2025 | CIKM | CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3. | Liang Chen, Haozhe Zhao, Yinzhen Huang, Yang Luo, Tsekai Lin, Weichu Xie, Ruoyu Wu, Peiyi Wang, Runxin Xu, Ming Wu, Baobao Chang |
| 2025 | ICLR | 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 |
| 2025 | ICML | CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction. | Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICASSP | TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables. | Jiaxing Lin, Runxin Xu, Baobao Chang |
| 2023 | WSDM | 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 |
| 2022 | AAAI | 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 |
| 2022 | ACL | Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. | Liang Chen, Runxin Xu, Baobao Chang |
| 2022 | ACL | Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency. | Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang |
| 2022 | ACL | S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. | Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang |
| 2022 | NAACL | ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. | Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang |
| 2022 | NAACL | 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 |
| 2022 | NAACL | A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. | Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui |
| 2022 | NAACL | A Double-Graph Based Framework for Frame Semantic Parsing. | Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang |
| 2021 | AAAI | ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. | Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li |
| 2021 | ACL | Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. | Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang |
| 2021 | CIKM | 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 |
| 2021 | EMNLP | 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 |
| 2020 | ACL | 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 |
| 2020 | EMNLP | Double Graph Based Reasoning for Document-level Relation Extraction. | Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li |