Shengbin Yue

According to our database, Shengbin Yue authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education.

Lin Gao, Jing Lu, Zekai Shao, Ziyue Lin, Shengbin Yue, Chiokit Leong, Yi Sun, Rory James Zauner, Zhongyu Wei, Siming Chen

IEEE Trans. Vis. Comput. Graph., January, 2025

2024

Multi-Grained Representation Aggregating Transformer with Gating Cycle for Change Captioning.

Shengbin Yue, Yunbin Tu, Liang Li, Shengxiang Gao, Zhengtao Yu

ACM Trans. Multim. Comput. Commun. Appl., October, 2024

Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education.

Lin Gao, Jing Lu, Zekai Shao, Ziyue Lin, Shengbin Yue, Chiokit Ieong, Yi Sun, Rory James Zauner, Zhongyu Wei, Siming Chen

CoRR, 2024

Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks.

Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, Zhongyu Wei

CoRR, 2024

HAF-RM: A Hybrid Alignment Framework for Reward Model Training.

Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei

CoRR, 2024

Empowering LLMs for Long-Text Information Extraction in Chinese Legal Documents.

Chenchen Shen, Chengwei Ji, Shengbin Yue, Xiaoyu Shen, Yun Song, Xuanjing Huang, Zhongyu Wei

Proceedings of the Natural Language Processing and Chinese Computing, 2024

2023

I3N: Intra- and Inter-Representation Interaction Network for Change Captioning.

Shengbin Yue, Yunbin Tu, Liang Li, Ying Yang, Shengxiang Gao, Zhengtao Yu

IEEE Trans. Multim., 2023

DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services.

Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, Zhongyu Wei

CoRR, 2023