Neural Machine Translation with Word Predictions. - Rongxiang Weng; Shujian Huang; Zaixiang Zheng; Xin-Yu Dai; Jiajun Chen 001 (EMNLP, 2017)

Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation. - Zaixiang Zheng; Shujian Huang; Zewei Sun; Rongxiang Weng; Xin-Yu Dai; Jiajun Chen 001 (CoRR, 2018)

Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering. - Peng Wu; Shujian Huang; Rongxiang Weng; Zaixiang Zheng; Jianbing Zhang; Xiaohui Yan; Jiajun Chen 001 (ACL (1), 2019)

Correct-and-Memorize: Learning to Translate from Interactive Revisions. - Rongxiang Weng; Hao Zhou 012; Shujian Huang; Lei Li 005; Yifan Xia; Jiajun Chen 001 (IJCAI, 2019)

Improving Neural Machine Translation with Pre-trained Representation. - Rongxiang Weng; Heng Yu 006; Shujian Huang; Weihua Luo; Jiajun Chen 001 (CoRR, 2019)

GRET: Global Representation Enhanced Transformer. - Rongxiang Weng; Hao-Ran Wei; Shujian Huang; Heng Yu 006; Lidong Bing; Weihua Luo; Jiajun Chen 001 (AAAI, 2020)

Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation. - Rongxiang Weng; Heng Yu 006; Shujian Huang; Shanbo Cheng; Weihua Luo (AAAI, 2020)

Multiscale Collaborative Deep Models for Neural Machine Translation. - Xiangpeng Wei; Heng Yu 006; Yue Hu 002; Yue Zhang 004; Rongxiang Weng; Weihua Luo (ACL, 2020)

Uncertainty-Aware Semantic Augmentation for Neural Machine Translation. - Xiangpeng Wei; Heng Yu 006; Yue Hu 002; Rongxiang Weng; Luxi Xing; Weihua Luo (EMNLP (1), 2020)

Towards Enhancing Faithfulness for Neural Machine Translation. - Rongxiang Weng; Heng Yu 006; Xiangpeng Wei; Weihua Luo (EMNLP (1), 2020)

AR: Auto-Repair the Synthetic Data for Neural Machine Translation. - Shanbo Cheng; Shaohui Kuang; Rongxiang Weng; Heng Yu 006; Changfeng Zhu; Weihua Luo (CoRR, 2020)

Improving Self-Attention Networks With Sequential Relations. - Zaixiang Zheng; Shujian Huang; Rongxiang Weng; Xin-Yu Dai; Jiajun Chen 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

On Learning Universal Representations Across Languages. - Xiangpeng Wei; Rongxiang Weng; Yue Hu 002; Luxi Xing; Heng Yu 006; Weihua Luo (ICLR, 2021)

Deep Fusing Pre-trained Models into Neural Machine Translation. - Rongxiang Weng; Heng Yu 006; Weihua Luo; Min Zhang 005 (AAAI, 2022)

Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation. - Xiangpeng Wei; Heng Yu 006; Yue Hu 002; Rongxiang Weng; Weihua Luo; Rong Jin (ACL (1), 2022)

Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation. - Qiang Wang; Rongxiang Weng; Ming Chen (COLING, 2022)

Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation. - Xiangpeng Wei; Heng Yu 006; Yue Hu 002; Rongxiang Weng; Weihua Luo; Jun Xie; Rong Jin (CoRR, 2022)

Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning. - Rongxiang Weng; Qiang Wang; Wensen Cheng; Changfeng Zhu; Min Zhang (AAAI, 2023)

G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network. - Rongxiang Weng; Wensen Cheng; Min Zhang (ACL (Findings), 2023)

Secrets of RLHF in Large Language Models Part I: PPO. - Rui Zheng; Shihan Dou; Songyang Gao; Yuan Hua; Wei Shen; Binghai Wang; Yan Liu 002; Senjie Jin; Qin Liu 010; Yuhao Zhou; Limao Xiong; Lu Chen; et al. (CoRR, 2023)

The Rise and Potential of Large Language Model Based Agents: A Survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (CoRR, 2023)

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. - Shihan Dou; Haoxiang Jia; Shenxi Wu; Huiyuan Zheng; Weikang Zhou; Muling Wu; Mingxu Chai; Jessica Fan; Caishuang Huang; Yunbo Tao; Yan Liu 002; Enyu Zhou; et al. (CoRR, 2024)

Length Desensitization in Directed Preference Optimization. - Wei Liu; Yang Bai; Chengcheng Han 004; Rongxiang Weng; Jun Xu; Xuezhi Cao; Jingang Wang; Xunliang Cai (CoRR, 2024)

Multi-Programming Language Sandbox for LLMs. - Shihan Dou; Jiazheng Zhang; Jianxiang Zang; Yunbo Tao; Haoxiang Jia; Shichun Liu; Yuming Yang; Shenxi Wu; Shaoqing Zhang; Muling Wu; Changze Lv; Limao Xiong; et al. (CoRR, 2024)

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision. - Zhiheng Xi; Dingwen Yang; Jixuan Huang; Jiafu Tang; Guanyu Li; Yiwen Ding; Wei He 024; Boyang Hong; Shihan Dou; Wenyu Zhan; Xiao Wang 001; Rui Zheng; et al. (CoRR, 2024)

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM. - Shaoqing Zhang; Zhuosheng Zhang 001; Kehai Chen; Rongxiang Weng; Muyun Yang; Tiejun Zhao; Min Zhang 005 (CoRR, 2024)

Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM. - Shaoqing Zhang; Zhuosheng Zhang 001; Kehai Chen; Rongxiang Weng; Muyun Yang; Tiejun Zhao; Min Zhang 005 (AAAI, 2025)

Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training. - Zhijun Wang; Jiahuan Li; Hao Zhou; Rongxiang Weng; Jingang Wang; Xin Huang; Xue Han; Junlan Feng; Chao Deng; Shujian Huang (ACL (Findings), 2025)

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. - Xuemiao Zhang; Feiyu Duan; Liangyu Xu; Yongwei Zhou; Sirui Wang; Rongxiang Weng; Jingang Wang; Xunliang Cai (ACL (Findings), 2025)

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. - Xuemiao Zhang; Liangyu Xu; Feiyu Duan; Yongwei Zhou; Sirui Wang; Rongxiang Weng; Jingang Wang; Xunliang Cai (ACL (Findings), 2025)

The rise and potential of large language model based agents: a survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (Sci. China Inf. Sci., 2025)

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment. - Jiazheng Zhang; Wenqing Jing; Zizhuo Zhang; Zhiheng Xi; Shihan Dou; Rongxiang Weng; Jiahuan Li; Jingang Wang; Mingxu Chai; Shibo Hong; Tao Gui; Qi Zhang 001 (CoRR, 2025)

XBOUND: Exploring the Capability Boundaries of Device-Control Agents through Trajectory Tree Exploration. - Shaoqing Zhang; Kehai Chen; Zhuosheng Zhang 001; Rumei Li; Rongxiang Weng; Yang Xiang 003; Liqiang Nie; Min Zhang 005 (CoRR, 2025)

Libra: Assessing and Improving Reward Model by Learning to Think. - Meng Zhou; Bei Li; Jiahao Liu; Xiaowen Shi; Yang Bai; Rongxiang Weng; Jingang Wang; Xunliang Cai (CoRR, 2025)

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points. - Xuemiao Zhang; Can Ren; Chengying Tu; Rongxiang Weng; Hongfei Yan; Jingang Wang; Xunliang Cai (CoRR, 2025)

Large-Scale Diverse Synthesis for Mid-Training. - Xuemiao Zhang; Chengying Tu; Can Ren; Rongxiang Weng; Hongfei Yan; Jingang Wang; Xunliang Cai (CoRR, 2025)