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2020 – today
- 2025
[j2]Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang
, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, Qi Zhang, Tao Gui:
The rise and potential of large language model based agents: a survey. Sci. China Inf. Sci. 68(2) (2025)- [c18]Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang:
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM. AAAI 2025: 25904-25912 - [c17]Zhijun Wang, Jiahuan Li, Hao Zhou, Rongxiang Weng, Jingang Wang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang:
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training. ACL (Findings) 2025: 11032-11046 - [c16]Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai:
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. ACL (Findings) 2025: 20278-20297 - [c15]Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai:
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. ACL (Findings) 2025: 21181-21198 - [i34]Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai:
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. CoRR abs/2502.05551 (2025) - [i33]Zhijun Wang, Jiahuan Li, Hao Zhou, Rongxiang Weng, Jingang Wang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang:
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training. CoRR abs/2504.01801 (2025) - [i32]Jiazheng Zhang, Wenqing Jing, Zizhuo Zhang, Zhiheng Xi, Shihan Dou, Rongxiang Weng, Jiahuan Li, Jingang Wang, Mingxu Chai, Shibo Hong, Tao Gui, Qi Zhang:
Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment. CoRR abs/2505.10597 (2025) - [i31]Shaoqing Zhang, Kehai Chen, Zhuosheng Zhang, Rumei Li, Rongxiang Weng, Yang Xiang, Liqiang Nie, Min Zhang:
XBOUND: Exploring the Capability Boundaries of Device-Control Agents through Trajectory Tree Exploration. CoRR abs/2505.21279 (2025) - [i30]Meng Zhou, Bei Li, Jiahao Liu, Xiaowen Shi, Yang Bai, Rongxiang Weng, Jingang Wang, Xunliang Cai:
Libra: Assessing and Improving Reward Model by Learning to Think. CoRR abs/2507.21645 (2025) - [i29]Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai:
LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points. CoRR abs/2508.01317 (2025) - [i28]Xuemiao Zhang, Chengying Tu, Can Ren, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai:
Large-Scale Diverse Synthesis for Mid-Training. CoRR abs/2508.01326 (2025) - [i27]Meituan LongCat Team, Bayan, Bei Li, Bingye Lei, Bo Wang, Bolin Rong, Chao Wang, Chao Zhang, Chen Gao, Chen Zhang, Cheng Sun, Chengcheng Han, Chenguang Xi, Chi Zhang, Chong Peng, Chuan Qin, Chuyu Zhang, Cong Chen, Congkui Wang, Dan Ma, Daoru Pan, Defei Bu, Dengchang Zhao, Deyang Kong, Dishan Liu, Feiye Huo, Fengcun Li, Fubao Zhang, Gan Dong, Gang Liu, Gang Xu, Ge Li, Guoqiang Tan, Guoyuan Lin, Haihang Jing, Haomin Fu, Haonan Yan, Haoxing Wen, Haozhe Zhao, Hong Liu, Hongmei Shi, Hongyan Hao, Hongyin Tang, Huantian Lv, Hui Su, Jiacheng Li, Jiahao Liu, Jiahuan Li, Jiajun Yang, Jiaming Wang, Jian Yang, Jianchao Tan, Jiaqi Sun, Jiaqi Zhang, Jiawei Fu, Jiawei Yang, Jiaxi Hu, Jiayu Qin, Jingang Wang, Jiyuan He, Jun Kuang, Junhui Mei, Kai Liang, Ke He, Kefeng Zhang, Keheng Wang, Keqing He, Liang Gao, Liang Shi, Lianhui Ma, Lin Qiu, Lingbin Kong, Lingtong Si, Linkun Lyu, Linsen Guo, Liqi Yang, Lizhi Yan, Mai Xia, Man Gao, Manyuan Zhang, Meng Zhou, Mengxia Shen, Mingxiang Tuo, Mingyang Zhu, Peiguang Li, Peng Pei, Peng Zhao, Pengcheng Jia, Pingwei Sun, Qi Gu, Qianyun Li, Qingyuan Li, Qiong Huang, Qiyuan Duan, Ran Meng, Rongxiang Weng, Ruichen Shao, Rumei Li, Shizhe Wu, Shuai Liang:
LongCat-Flash Technical Report. CoRR abs/2509.01322 (2025) - [i26]Han Li, Xinyu Peng, Yaoming Wang, Zelin Peng, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Wenrui Dai, Hongkai Xiong:
OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation. CoRR abs/2509.03498 (2025) - [i25]Meituan LongCat Team, Anchun Gui, Bei Li, Bingyang Tao, Bole Zhou, Borun Chen, Chao Zhang, Chengcheng Han, Chenhui Yang, Chi Zhang, Chong Peng, Chuyu Zhang, Cong Chen, Fengcun Li, Gang Xu, Guoyuan Lin, Hao Jiang, Hao Liang, Haomin Fu, Haoxiang Ma, Hong Liu, Hongyan Hao, Hongyin Tang, Hongyu Zang, Hongzhi Ni, Hui Su, Jiahao Liu, Jiahuan Li, Jialin Liu, Jianfei Zhang, Jianhao Xu, Jianing Wang, Jiaqi Sun, Jiaqi Zhang, Jiarong Shi, Jiawei Yang, Jingang Wang, Jinrui Ding, Jun Kuang, Jun Xu, Ke He, Kefeng Zhang, Keheng Wang, Keqing He, Li Wei, Liang Shi, Lin Qiu, Lingbin Kong, Lingchuan Liu, Linsen Guo, Longfei An, Mai Xia, Meng Zhou, Mengshen Zhu, Peng Pei, Pengcheng Jia, Qi Gu, Qi Guo, Qiong Huang, Quan Chen, Quanchi Weng, Rongxiang Weng, Ruichen Shao, Rumei Li, Shanglin Lei, Shuai Du, Shuaikang Liu, Shuang Zhou, Shuhao Hu, Siyu Xu, Songshan Gong, Tao Liang, Tianhao Hu, Wei He, Wei Shi, Wei Wang, Wei Wu, Wei Zhuo, Weifeng Tang, Wenjie Shi, Wenlong Zhu, Xi Su, Xiangcheng Liu, Xiangyu Xi, Xiangzhou Huang, Xiao Liu, Xiaochen Jiang, Xiaowei Shi, Xiaowen Shi, Xiaoyu Li, Xin Chen, Xinyue Zhao, Xuan Huang, Xuemiao Zhang, Xuezhi Cao, Xunliang Cai, Yajie Zhang, Yang Chen, Yang Liu:
LongCat-Flash-Thinking Technical Report. CoRR abs/2509.18883 (2025) - [i24]Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Shuo Wang, Hongfei Yan, Jingang Wang, Xunliang Cai:
Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns. CoRR abs/2509.21124 (2025) - [i23]Zhejian Lai, Xiang Geng, Zhijun Wang, Yang Bai, Jiahuan Li, Rongxiang Weng, Jingang Wang, Xuezhi Cao, Xunliang Cai, Shujian Huang:
Making Mathematical Reasoning Adaptive. CoRR abs/2510.04617 (2025) - [i22]Chengying Tu, Xuemiao Zhang, Rongxiang Weng, Rumei Li, Chen Zhang, Yang Bai, Hongfei Yan, Jingang Wang, Xunliang Cai:
A Survey on LLM Mid-training. CoRR abs/2510.23081 (2025) - 2024
- [i21]Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou, Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu, Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR abs/2407.06153 (2024) - [i20]Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun Xu, Xuezhi Cao, Jingang Wang, Xunliang Cai:
Length Desensitization in Directed Preference Optimization. CoRR abs/2409.06411 (2024) - [i19]Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Shaoqing Zhang, Muling Wu, Changze Lv, Limao Xiong, Wenyu Zhan, Lin Zhang, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Rui Zheng, Tao Ji, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
Multi-Programming Language Sandbox for LLMs. CoRR abs/2410.23074 (2024) - [i18]Zhiheng Xi, Dingwen Yang, Jixuan Huang, Jiafu Tang, Guanyu Li, Yiwen Ding, Wei He, Boyang Hong, Shihan Dou, Wenyu Zhan, Xiao Wang, Rui Zheng, Tao Ji, Xiaowei Shi, Yitao Zhai, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Zuxuan Wu, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Yu-Gang Jiang:
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision. CoRR abs/2411.16579 (2024) - [i17]Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang:
Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM. CoRR abs/2412.10423 (2024) - 2023
- [c14]Rongxiang Weng, Qiang Wang, Wensen Cheng, Changfeng Zhu, Min Zhang:
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning. AAAI 2023: 13709-13717 - [c13]Rongxiang Weng, Wensen Cheng, Min Zhang:
G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network. ACL (Findings) 2023: 4747-4755 - [i16]Rongxiang Weng, Qiang Wang, Wensen Cheng, Changfeng Zhu, Min Zhang:
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning. CoRR abs/2303.10966 (2023) - [i15]Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Qin Liu, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Cheng Chang, Zhangyue Yin, Rongxiang Weng, Wensen Cheng, Haoran Huang, Tianxiang Sun, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang:
Secrets of RLHF in Large Language Models Part I: PPO. CoRR abs/2307.04964 (2023) - [i14]Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, Tao Gui:
The Rise and Potential of Large Language Model Based Agents: A Survey. CoRR abs/2309.07864 (2023) - 2022
- [c12]Rongxiang Weng, Heng Yu, Weihua Luo, Min Zhang:
Deep Fusing Pre-trained Models into Neural Machine Translation. AAAI 2022: 11468-11476 - [c11]Xiangpeng Wei, Heng Yu, Yue Hu, Rongxiang Weng, Weihua Luo, Rong Jin:
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation. ACL (1) 2022: 7930-7944 - [c10]Qiang Wang, Rongxiang Weng, Ming Chen:
Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation. COLING 2022: 5142-5147 - [i13]Xiangpeng Wei, Heng Yu, Yue Hu, Rongxiang Weng, Weihua Luo, Jun Xie, Rong Jin:
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation. CoRR abs/2204.06812 (2022) - [i12]Qiang Wang, Rongxiang Weng, Ming Chen:
Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation. CoRR abs/2209.08738 (2022) - 2021
- [c9]Xiangpeng Wei, Rongxiang Weng, Yue Hu, Luxi Xing, Heng Yu, Weihua Luo:
On Learning Universal Representations Across Languages. ICLR 2021 - 2020
- [j1]Zaixiang Zheng, Shujian Huang, Rongxiang Weng, Xin-Yu Dai, Jiajun Chen:
Improving Self-Attention Networks With Sequential Relations. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1707-1716 (2020) - [c8]Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. AAAI 2020: 9258-9265 - [c7]Rongxiang Weng, Heng Yu, Shujian Huang, Shanbo Cheng, Weihua Luo:
Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation. AAAI 2020: 9266-9273 - [c6]Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng, Weihua Luo:
Multiscale Collaborative Deep Models for Neural Machine Translation. ACL 2020: 414-426 - [c5]Rongxiang Weng, Heng Yu, Xiangpeng Wei, Weihua Luo:
Towards Enhancing Faithfulness for Neural Machine Translation. EMNLP (1) 2020: 2675-2684 - [c4]Xiangpeng Wei, Heng Yu, Yue Hu, Rongxiang Weng, Luxi Xing, Weihua Luo:
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation. EMNLP (1) 2020: 2724-2735 - [i11]Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. CoRR abs/2002.10101 (2020) - [i10]Shanbo Cheng, Shaohui Kuang, Rongxiang Weng, Heng Yu, Changfeng Zhu, Weihua Luo:
AR: Auto-Repair the Synthetic Data for Neural Machine Translation. CoRR abs/2004.02196 (2020) - [i9]Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng, Weihua Luo:
Multiscale Collaborative Deep Models for Neural Machine Translation. CoRR abs/2004.14021 (2020) - [i8]Xiangpeng Wei, Yue Hu, Rongxiang Weng, Luxi Xing, Heng Yu, Weihua Luo:
On Learning Universal Representations Across Languages. CoRR abs/2007.15960 (2020) - [i7]Xiangpeng Wei, Heng Yu, Yue Hu, Rongxiang Weng, Luxi Xing, Weihua Luo:
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation. CoRR abs/2010.04411 (2020)
2010 – 2019
- 2019
- [c3]Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen:
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering. ACL (1) 2019: 6130-6139 - [c2]Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen:
Correct-and-Memorize: Learning to Translate from Interactive Revisions. IJCAI 2019: 5255-5263 - [i6]Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen:
Correct-and-Memorize: Learning to Translate from Interactive Revisions. CoRR abs/1907.03468 (2019) - [i5]Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen:
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering. CoRR abs/1907.07328 (2019) - [i4]Rongxiang Weng, Heng Yu, Shujian Huang, Weihua Luo, Jiajun Chen:
Improving Neural Machine Translation with Pre-trained Representation. CoRR abs/1908.07688 (2019) - [i3]Rongxiang Weng, Heng Yu, Shujian Huang, Shanbo Cheng, Weihua Luo:
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation. CoRR abs/1912.01774 (2019) - 2018
- [i2]Zaixiang Zheng, Shujian Huang, Zewei Sun, Rongxiang Weng, Xin-Yu Dai, Jiajun Chen:
Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation. CoRR abs/1810.10317 (2018) - 2017
- [c1]Rongxiang Weng, Shujian Huang, Zaixiang Zheng, Xin-Yu Dai, Jiajun Chen:
Neural Machine Translation with Word Predictions. EMNLP 2017: 136-145 - [i1]Rongxiang Weng, Shujian Huang, Zaixiang Zheng, Xinyu Dai, Jiajun Chen:
Neural Machine Translation with Word Predictions. CoRR abs/1708.01771 (2017)
Coauthor Index
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