Liangxin Liu

According to our database, Liangxin Liu authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework.

Kai Qin, Liangxin Liu, Yu Liang, Longzheng Wang, Yan Wang, Yueyang Zhang, Long Xia, Zhiyuan Sun, Houde Liu, Daiting Shi

CoRR, April, 2026

ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training.

Yu Liang, Liangxin Liu, Longzheng Wang, Yan Wang, Yueyang Zhang, Long Xia, Zhiyuan Sun, Daiting Shi

CoRR, April, 2026

When Specifications Meet Reality: Uncovering API Inconsistencies in Ethereum Infrastructure.

Jie Ma, Ningyu He, Jinwen Xi, Mingzhe Xing, Liangxin Liu, Jiushenzi Luo, Xiaopeng Fu, Chiachih Wu, Haoyu Wang, Ying Gao, Yinliang Yue

CoRR, March, 2026

2024

Mainstay: A hybrid protocol ensuring ledger temporality and security.

Liangxin Liu, Zhiqiang Du, Yanfang Fu, Muhong Huang, Wendong Zhang

Peer Peer Netw. Appl., November, 2024

SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection.

Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang

CoRR, 2024

Bulwark: A proof-of-stake protocol with strong consistency and liveness.

Zhiqiang Du, Liangxin Liu, Muhong Huang, Yanfang Fu, Wendong Zhang

Comput. Networks, 2024

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection.

Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Curriculum Consistency Learning for Conditional Sentence Generation.

Liangxin Liu, Xuebo Liu, Lian Lian, Shengjun Cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Emage: Non-Autoregressive Text-to-Image Generation.

Zhangyin Feng, Runyi Hu, Liangxin Liu, Fan Zhang, Duyu Tang, Yong Dai, Xiaocheng Feng, Jiwei Li, Bing Qin, Shuming Shi

CoRR, 2023

Multi-strategy-based leader election mechanism for the Raft algorithm.

Zhiqiang Du, Zhi Qu, Yanfang Fu, Muhong Huang, Liangxin Liu

Concurr. Comput. Pract. Exp., 2023

2022

One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code.

Yong Dai, Duyu Tang, Liangxin Liu, Minghuan Tan, Cong Zhou, Jingquan Wang, Zhangyin Feng, Fan Zhang, Xueyu Hu, Shuming Shi

CoRR, 2022

Reputation-based state machine replication.

Muhong Huang, Runchao Han, Zhiqiang Du, Yanfang Fu, Liangxin Liu

Proceedings of the 21st IEEE International Symposium on Network Computing and Applications, 2022

2021

License Plate Image Reconstruction Based on Generative Adversarial Networks.

Mianfen Lin, Liangxin Liu, Fei Wang, Jingcong Li, Jiahui Pan

Remote. Sens., 2021

An Improved Two-stream Inflated 3D ConvNet for Abnormal Behavior Detection.

Jiahui Pan, Liangxin Liu, Mianfen Lin, Shengzhou Luo, Chengju Zhou, Huijian Liao, Fei Wang

Intell. Autom. Soft Comput., 2021