Tongran Liu - RankMe

31 papers A* 12Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models. AAAI 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	J	`jnl`	The effects of working memory and interference control on reinforcement learning: Evidence from computational modeling and structural MRI. NeuroImage Mengxin Wen, Chengyan Yang, Tongran Liu, Kristoffer H. Madsen, Xun Liu
2025	A*	`conf`	GRAM: A Generative Foundation Reward Model for Reward Generalization. ICML Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu
2025	J	`jnl`	GRAM: A Generative Foundation Reward Model for Reward Generalization. CoRR Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu
2025	—	`conf`	HEAL: A Hypothesis-Based Preference-Aware Analysis Framework. EMNLP (Findings) Yifu Huo, Chenglong Wang, Qiren Zhu, Shunjie Xing, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu
2025	J	`jnl`	HEAL: A Hypothesis-Based Preference-Aware Analysis Framework. CoRR Yifu Huo, Chenglong Wang, Qiren Zhu, Shunjie Xing, Tong Xiao, Chunliang Zhang, Tongran Liu, Jinbo Zhu
2025	J	`jnl`	MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization. CoRR Chenglong Wang, Yang Gan, Hang Zhou, Chi Hu, Yongyu Mu, Kai Song, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Jingbo Zhu, Zhengtao Yu, Tong Xiao
2025	J	`jnl`	Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models. CoRR 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
2025	A*	`conf`	RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. AAAI Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu
2024	A*	`conf`	ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. AAAI Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu
2024	—	`conf`	Hybrid Alignment Training for Large Language Models. ACL (Findings) Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, Jingbo Zhu
2024	J	`jnl`	Hybrid Alignment Training for Large Language Models. CoRR Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, Jingbo Zhu
2024	J	`jnl`	LRHP: Learning Representations for Human Preferences via Preference Pairs. CoRR Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu
2024	J	`jnl`	Large Language Models are Parallel Multilingual Learners. CoRR Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, Jingbo Zhu
2024	A*	`conf`	Revealing the Parallel Multilingual Learning within Large Language Models. EMNLP Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, Jingbo Zhu
2024	J	`jnl`	RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. CoRR Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Quan Du, Di Yang, Jingbo Zhu
2023	J	`jnl`	ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation. CoRR Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu
2023	J	`jnl`	Learning Evaluation Models from Large Language Models for Sequence Generation. CoRR Chenglong Wang, Hang Zhou, Kaiyan Chang, Tongran Liu, Chunliang Zhang, Quan Du, Tong Xiao, Jingbo Zhu
2020	A*	`conf`	Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. ACL Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li
2020	J	`jnl`	Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. CoRR Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li
2020	A*	`conf`	Learning Architectures from an Extended Search Space for Language Modeling. ACL Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li
2020	J	`jnl`	Learning Architectures from an Extended Search Space for Language Modeling. CoRR Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li
2020	A*	`conf`	Neural Machine Translation with Joint Representation. AAAI Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu
2020	J	`jnl`	Neural Machine Translation with Joint Representation. CoRR Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu
2020	A*	`conf`	Towards Fully 8-bit Integer Inference for the Transformer Model. IJCAI Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu
2020	J	`jnl`	Towards Fully 8-bit Integer Inference for the Transformer Model. CoRR Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu
2019	A*	`conf`	Sharing Attention Weights for Fast Transformer. IJCAI Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu
2019	J	`jnl`	Sharing Attention Weights for Fast Transformer. CoRR Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu
2017	A*	`conf`	Fast Parallel Training of Neural Language Models. IJCAI Tong Xiao, Jingbo Zhu, Tongran Liu, Chunliang Zhang
2016	A*	`conf`	Syntactic Skeleton-Based Translation. AAAI Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu
2013	J	`jnl`	Bagging and Boosting statistical machine translation systems. Artif. Intell. Tong Xiao, Jingbo Zhu, Tongran Liu