Tongran Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models. | Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Anxiang Ma, Zhengtao Yu, Jingbo Zhu, Tong Xiao |
| 2026 | ACL | SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models. | Yifu Huo, Chenglong Wang, Ziming Zhu, Shunjie Xing, Peinan Feng, Tongran Liu, Qiaozhi He, Tianhua Zhou, Changxiaojia, JingBo Zhu, Zhengtao Yu, Tong Xiao |
| 2025 | AAAI | RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. | Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu |
| 2025 | EMNLP | HEAL: A Hypothesis-Based Preference-Aware Analysis Framework. | Yifu Huo, Chenglong Wang, Qiren Zhu, Shunjie Xing, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu |
| 2025 | ICML | GRAM: A Generative Foundation Reward Model for Reward Generalization. | Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu |
| 2024 | AAAI | ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. | Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu |
| 2024 | ACL | Hybrid Alignment Training for Large Language Models. | Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, JingBo Zhu |
| 2024 | EMNLP | Revealing the Parallel Multilingual Learning within Large Language Models. | Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu |
| 2020 | AAAI | Neural Machine Translation with Joint Representation. | Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu |
| 2020 | ACL | Learning Architectures from an Extended Search Space for Language Modeling. | Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li |
| 2020 | ACL | Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. | Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li |
| 2020 | IJCAI | Towards Fully 8-bit Integer Inference for the Transformer Model. | Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu |
| 2019 | IJCAI | Sharing Attention Weights for Fast Transformer. | Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu |
| 2017 | IJCAI | Fast Parallel Training of Neural Language Models. | Tong Xiao, Jingbo Zhu, Tongran Liu, Chunliang Zhang |
| 2016 | AAAI | Syntactic Skeleton-Based Translation. | Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu |