Weiguang Han

According to our database, Weiguang Han authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy.

Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min Peng, Weiguang Han, Jimin Huang

CoRR, 2024

The FinBen: An Holistic Financial Benchmark for Large Language Models.

Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

CoRR, 2024

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English.

Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie

CoRR, 2024

2023

LAiW: A Chinese Legal Large Language Models Benchmark (A Technical Report).

Yongfu Dai, Duanyu Feng, Jimin Huang, Haochen Jia, Qianqian Xie, Yifang Zhang, Weiguang Han, Wei Tian, Hao Wang

CoRR, 2023

Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models.

Duanyu Feng, Yongfu Dai, Jimin Huang, Yifang Zhang, Qianqian Xie, Weiguang Han, Alejandro Lopez-Lira, Hao Wang

CoRR, 2023

PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.

Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang

CoRR, 2023

The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges.

Qianqian Xie, Weiguang Han, Yanzhao Lai, Min Peng, Jimin Huang

CoRR, 2023

Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning.

Weiguang Han, Jimin Huang, Qianqian Xie, Boyi Zhang, Yanzhao Lai, Min Peng

CoRR, 2023

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance.

Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning.

Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

DGR: Decomposition Graph Reconstruction for Question Understanding.

Weiguang Han, Jimin Huang, Qianqian Xie, Min Peng

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

DTC: Transfer learning for commonsense machine comprehension.

Weiguang Han, Min Peng, Qianqian Xie, Gang Hu, Wang Gao, Hua Wang, Yanchun Zhang, Zuopeng Liu

Neurocomputing, 2020

Generation of topic evolution graphs from short text streams.

Wang Gao, Min Peng, Hua Wang, Yanchun Zhang, Weiguang Han, Gang Hu, Qianqian Xie

Neurocomputing, 2020

MSReNet: Multi-step Reformulation for Open-Domain Question Answering.

Weiguang Han, Min Peng, Qianqian Xie, Xiuzhen Zhang, Hua Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2020