Jimin Huang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Reinforcement Learning

Text Representation

Top Venues

Publications

Gang Hu, Ke Qin, Chenhan Yuan, Min Peng, Alejandro Lopez-Lira, Benyou Wang, Sophia Ananiadou, Wanlong Yu, Jimin Huang, Qianqian Xie
No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks. CoRR (2024)
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
The FinBen: An Holistic Financial Benchmark for Large Language Models. CoRR (2024)
Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. WWW (2024)
Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. CoRR (2024)
Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Rong Liu, Zhenyu Cui, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. CoRR (2024)
Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Jimin Huang, Sophia Ananiadou
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. WWW (2024)
Kailai Yang, Zhiwei Liu, Qianqian Xie, Tianlin Zhang, Nirui Song, Jimin Huang, Ziyan Kuang, Sophia Ananiadou
MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models. CoRR (2024)
Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Meikang Qiu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. KDD (2024)
Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min Peng, Weiguang Han, Jimin Huang
HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy. CoRR (2024)
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Kuttichi Keloth, Xingyu Zhou, Huan He, Lucila Ohno-Machido, Yonghui Wu, Hua Xu, Jiang Bian
Me LLaMA: Foundation Large Language Models for Medical Applications. CoRR (2024)
Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min Peng, Weiguang Han, Jimin Huang
HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy. ACL (1) (2024)
Qianqian Xie, Weiguang Han, Yanzhao Lai, Min Peng, Jimin Huang
The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges. CoRR (2023)
Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. CoRR (2023)
Weiguang Han, Jimin Huang, Qianqian Xie, Boyi Zhang, Yanzhao Lai, Min Peng
Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning. CoRR (2023)
Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. CoRR (2023)
Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang
PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance. NeurIPS (2023)
Yongfu Dai, Duanyu Feng, Jimin Huang, Haochen Jia, Qianqian Xie, Yifang Zhang, Weiguang Han, Wei Tian, Hao Wang
LAiW: A Chinese Legal Large Language Models Benchmark (A Technical Report). CoRR (2023)
Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance. CoRR (2023)
Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. KDD (2023)
Duanyu Feng, Yongfu Dai, Jimin Huang, Yifang Zhang, Qianqian Xie, Weiguang Han, Alejandro Lopez-Lira, Hao Wang
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models. CoRR (2023)
Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. COLING (2022)
Qianqian Xie, Yutao Zhu, Jimin Huang, Pan Du, Jian-Yun Nie
Graph Neural Collaborative Topic Model for Citation Recommendation. ACM Trans. Inf. Syst. 40 (3) (2022)
Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. CoRR (2022)
Weiguang Han, Jimin Huang, Qianqian Xie, Min Peng
DGR: Decomposition Graph Reconstruction for Question Understanding. IJCNN (2022)
Qianqian Xie, Prayag Tiwari, Deepak Gupta, Jimin Huang, Min Peng
Neural variational sparse topic model for sparse explainable text representation. Inf. Process. Manag. 58 (5) (2021)
Qianqian Xie, Jimin Huang, Pan Du, Min Peng
Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders. ACL/IJCNLP (Findings) (2021)
Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie
Inductive Topic Variational Graph Auto-Encoder for Text Classification. NAACL-HLT (2021)
Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie
Graph Topic Neural Network for Document Representation. WWW (2021)
Qianqian Xie, Min Peng, Jimin Huang, Bin Wang, Hua Wang
Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning. IJCNN (2019)
Qianqian Xie, Jimin Huang, Min Peng, Yihan Zhang, Kaifei Peng, Hua Wang
Discriminative Regularized Deep Generative Models for Semi-Supervised Learning. ICDM (2019)
Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, Xiuzhen Zhang, Jimin Huang, Gang Tian
Neural Sparse Topical Coding. ACL (1) (2018)
Min Peng, Jimin Huang, Zhaoyu Sun, Shizhong Wang, Hua Wang, Guangping Zhuo, Gang Tian
Improving Distant Supervision of Relation Extraction with Unsupervised Methods. WISE (1) (2016)
Min Peng, Qianqian Xie, Jiajia Huang, Jiahui Zhu, Shuang Ouyang, Jimin Huang, Gang Tian
Sparse Topical Coding with Sparse Groups. WAIM (1) (2016)
Jiahui Zhu, Xuhui Li, Min Peng, Jiajia Huang, Tieyun Qian, Jimin Huang, Jiping Liu, Ri Hong, Pinglan Liu
Coherent Topic Hierarchy: A Strategy for Topic Evolutionary Analysis on Microblog Feeds. WAIM (2015)