@article{yang2025qwen3,title={Qwen3 technical report},author={Yang, An and Li, Anfeng and Yang, Baosong and Zhang, Beichen and Hui, Binyuan and Zheng, Bo and Yu, Bowen and Gao, Chang and Huang, Chengen and Lv, Chenxu and others},journal={arXiv preprint arXiv:2505.09388},year={2025},dimensions={true},}
ICLR 2025
DataMan: Data Manager for Pre-training Large Language Models
@inproceedings{pengdataman,title={DataMan: Data Manager for Pre-training Large Language Models},author={Peng, Ru and Yang, Kexin and Zeng, Yawen and Lin, Junyang and Liu, Dayiheng and Zhao, Junbo},booktitle={The Thirteenth International Conference on Learning Representations},year={2025},dimensions={true},}
@inproceedings{pengenergy,title={Energy-based Automated Model Evaluation},author={Peng, Ru and Zou, Heming and Wang, Haobo and Zeng, Yawen and Huang, Zenan and Zhao, Junbo},booktitle={The Twelfth International Conference on Learning Representations},year={2024},dimensions={true},}
ACL Findings 2024
DORY: Deliberative Prompt Recovery for LLM
Lirong Gao, Ru Peng , Yiming Zhang, and Junbo Zhao
In Findings of the Association for Computational Linguistics ACL 2024, 2024
@inproceedings{gao2024dory,title={DORY: Deliberative Prompt Recovery for LLM},author={Gao, Lirong and Peng, Ru and Zhang, Yiming and Zhao, Junbo},booktitle={Findings of the Association for Computational Linguistics ACL 2024},pages={10614--10632},year={2024},dimensions={true},}
@article{li2024dotamath,title={Dotamath: Decomposition of thought with code assistance and self-correction for mathematical reasoning},author={Li, Chengpeng and Dong, Guanting and Xue, Mingfeng and Peng, Ru and Wang, Xiang and Liu, Dayiheng},journal={arXiv preprint arXiv:2407.04078},year={2024},dimensions={true},}
Qwen2 Technical Report
Qwen2 technical report, 2024
An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, and 3 more authors
@article{yang2407qwen2,title={Qwen2 technical report, 2024},author={Yang, An and Yang, Baosong and Hui, Binyuan and Zheng, Bo and Yu, Bowen and Zhou, Chang and Li, Chengpeng and Li, Chengyuan and Liu, Dayiheng and Huang, Fei and others},journal={arXiv preprint arXiv:2407.10671},year={2024},dimensions={true},}
Qwen2.5 Technical Report
Qwen2.5 Technical Report
An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, and 33 more authors
@article{qwen2.5,title={Qwen2.5 Technical Report},author={Yang, An and Yang, Baosong and Zhang, Beichen and Hui, Binyuan and Zheng, Bo and Yu, Bowen and Li, Chengyuan and Liu, Dayiheng and Huang, Fei and Wei, Haoran and Lin, Huan and Yang, Jian and Tu, Jianhong and Zhang, Jianwei and Yang, Jianxin and Yang, Jiaxi and Zhou, Jingren and Lin, Junyang and Dang, Kai and Lu, Keming and Bao, Keqin and Yang, Kexin and Yu, Le and Li, Mei and Xue, Mingfeng and Zhang, Pei and Zhu, Qin and Men, Rui and Lin, Runji and Li, Tianhao and Xia, Tingyu and Ren, Xingzhang and Ren, Xuancheng and Fan, Yang and Su, Yang and Zhang, Yichang and Wan, Yu and Liu, Yuqiong and Cui, Zeyu and Zhang, Zhenru and Qiu, Zihan},journal={arXiv preprint arXiv:2412.15115},year={2024},dimensions={true},}
EMNLP Findings 2024
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
@inproceedings{zhu2024inference,title={Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation},author={Zhu, Qin and Cheng, Qinyuan and Peng, Runyu and Li, Xiaonan and Peng, Ru and Liu, Tengxiao and Qiu, Xipeng and Huang, Xuan-Jing},booktitle={Findings of the Association for Computational Linguistics: EMNLP 2024},pages={9113--9129},year={2024},dimensions={true},}
EMNLP 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
@inproceedings{yuan2024predicting,title={Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model},author={Yuan, Chenhan and Huang, Fei and Peng, Ru and Lu, Keming and Yu, Bowen and Zhou, Chang and Zhou, Jingren},booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},pages={5527--5542},year={2024},dimensions={true},}
EMNLP 2024
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection
Xiaomeng Hu, Yiming Zhang, Ru Peng , Haozhe Zhang, Chenwei Wu, Gang Chen, and Junbo Zhao
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
@inproceedings{hu2024embedding,title={Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection},author={Hu, Xiaomeng and Zhang, Yiming and Peng, Ru and Zhang, Haozhe and Wu, Chenwei and Chen, Gang and Zhao, Junbo},booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},pages={1950--1959},year={2024},dimensions={true},}
2023
ArXiv 2023
Better Sign Language Translation with Monolingual Data
@article{peng2023better,title={Better Sign Language Translation with Monolingual Data},author={Peng, Ru and Zeng, Yawen and Zhao, Junbo},journal={arXiv preprint arXiv:2304.10844},year={2023},dimensions={true},}
@inproceedings{peng2023came,title={Came: Contrastive automated model evaluation},author={Peng, Ru and Duan, Qiuyang and Wang, Haobo and Ma, Jiachen and Jiang, Yanbo and Tu, Yongjun and Jiang, Xiu and Zhao, Junbo},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={20121--20132},year={2023},dimensions={true},}
2022
ICONIP 2022 Oral
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network
@inproceedings{peng2022deps,title={Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network},author={Peng, Ru and Lin, Nankai and Fang, Yi and Jiang, Shengyi and Hao, Tianyong and Chen, Boyu and Zhao, Junbo},booktitle={International Conference on Neural Information Processing},pages={26--37},year={2022},organization={Springer},dimensions={true},}
ICMR 2022 Oral
Hybridvocab: Towards multi-modal machine translation via multi-aspect alignment
@inproceedings{peng2022hybridvocab,title={Hybridvocab: Towards multi-modal machine translation via multi-aspect alignment},author={Peng, Ru and Zeng, Yawen and Zhao, Junbo},booktitle={Proceedings of the 2022 International Conference on Multimedia Retrieval},pages={380--388},year={2022},dimensions={true},}
EMNLP 2022 Oral
Distill The Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation
@inproceedings{peng2022distill,title={Distill The Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation},author={Peng, Ru and Zeng, Yawen and Zhao, Junbo},booktitle={Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},pages={2379--2390},year={2022},dimensions={true},}
2021
NCA 2021
Syntax-aware neural machine translation directed by syntactic dependency degree
@article{peng2021syntax,title={Syntax-aware neural machine translation directed by syntactic dependency degree},author={Peng, Ru and Hao, Tianyong and Fang, Yi},journal={Neural Computing and Applications},volume={33},number={23},pages={16609--16625},year={2021},publisher={Springer},dimensions={true},}
2019
CCMT 2019 Best Paper Candidates
Neural machine translation with attention based on a new syntactic branch distance
@inproceedings{peng2019neural,title={Neural machine translation with attention based on a new syntactic branch distance},author={Peng, Ru and Chen, Zhitao and Hao, Tianyong and Fang, Yi},booktitle={Machine Translation: 15th China Conference, CCMT 2019, Nanchang, China, September 27--29, 2019, Revised Selected Papers 15},pages={47--57},year={2019},organization={Springer},dimensions={true},}
