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2020 – today
- 2024
[c18]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: 1707-1725- [c17]Fongci Lin, H. Patrick Young, Huan He, Jimin Huang, Roger Gagne, Daniel Rice, Nathan Price, William Byron, Yan Hu, Donn K. Felker, Will Button, Deniella Meeker, Allen L. Hsiao, Hua Xu, Charles J. Torre Jr., Wade L. Schulz:
Kamino: A Scalable Architecture to Support Medical AI Research Using Large Real World Data. ICHI 2024: 500-504 - [c16]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: 6236-6246 - [c15]Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. WWW 2024: 1963-1974 - [c14]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: 4489-4500 - [i20]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 abs/2402.07405 (2024) - [i19]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 abs/2402.12659 (2024) - [i18]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 abs/2402.12749 (2024) - [i17]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 abs/2403.05574 (2024) - [i16]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 abs/2403.06249 (2024) - [i15]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 abs/2403.17141 (2024) - [i14]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 abs/2407.06567 (2024) - [i13]Yuxin Wang, Duanyu Feng, Yongfu Dai, Zhengyu Chen, Jimin Huang, Sophia Ananiadou, Qianqian Xie, Hao Wang:
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection. CoRR abs/2408.02927 (2024) - [i12]Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, Shunian Chen, Yifei Zhang, Lihang Shen, Daniel Kim, Zhiwei Liu, Zheheng Luo, Yangyang Yu, Yupeng Cao, Zhiyang Deng, Zhiyuan Yao, Haohang Li, Duanyu Feng, Yongfu Dai, VijayaSai Somasundaram, Peng Lu, Yilun Zhao, Yitao Long, Guojun Xiong, Kaleb Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou:
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. CoRR abs/2408.11878 (2024) - [i11]Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Erxue Min, Sophia Ananiadou:
Selective Preference Optimization via Token-Level Reward Function Estimation. CoRR abs/2408.13518 (2024) - [i10]Zhiwei Liu, Xin Zhang, Kailai Yang, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
FMDLlama: Financial Misinformation Detection based on Large Language Models. CoRR abs/2409.16452 (2024) - [i9]Aidan Gilson, Xuguang Ai, Qianqian Xie, Sahana Srinivasan, Krithi Pushpanathan, Maxwell B. Singer, Jimin Huang, Hyunjae Kim, Erping Long, Peixing Wan, Luciano V. Del Priore, Lucila Ohno-Machado, Hua Xu, Dianbo Liu, Ron A. Adelman, Yih-Chung Tham, Qingyu Chen:
Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model. CoRR abs/2410.03740 (2024) - 2023
- [c13]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: 4123-4134 - [c12]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 - [i8]Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang:
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. CoRR abs/2301.10724 (2023) - [i7]Weiguang Han, Jimin Huang, Qianqian Xie, Boyi Zhang, Yanzhao Lai, Min Peng:
Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning. CoRR abs/2304.00364 (2023) - [i6]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 abs/2304.05351 (2023) - [i5]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 abs/2306.05443 (2023) - [i4]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 abs/2310.00566 (2023) - [i3]Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. CoRR abs/2310.01074 (2023) - [i2]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 abs/2310.05620 (2023) - 2022
- [j2]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): 48:1-48:30 (2022) - [c11]Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou:
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. COLING 2022: 6259-6269 - [c10]Weiguang Han, Jimin Huang, Qianqian Xie, Min Peng:
DGR: Decomposition Graph Reconstruction for Question Understanding. IJCNN 2022: 1-8 - [i1]Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou:
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. CoRR abs/2208.09982 (2022) - 2021
- [j1]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): 102614 (2021) - [c9]Qianqian Xie, Jimin Huang, Pan Du, Min Peng:
Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders. ACL/IJCNLP (Findings) 2021: 2604-2613 - [c8]Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie:
Inductive Topic Variational Graph Auto-Encoder for Text Classification. NAACL-HLT 2021: 4218-4227 - [c7]Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie:
Graph Topic Neural Network for Document Representation. WWW 2021: 3055-3065
2010 – 2019
- 2019
- [c6]Qianqian Xie, Jimin Huang, Min Peng, Yihan Zhang, Kaifei Peng, Hua Wang:
Discriminative Regularized Deep Generative Models for Semi-Supervised Learning. ICDM 2019: 658-667 - [c5]Qianqian Xie, Min Peng, Jimin Huang, Bin Wang, Hua Wang:
Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning. IJCNN 2019: 1-8 - 2018
- [c4]Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, Xiuzhen Zhang, Jimin Huang, Gang Tian:
Neural Sparse Topical Coding. ACL (1) 2018: 2332-2340 - 2016
- [c3]Min Peng, Qianqian Xie, Jiajia Huang, Jiahui Zhu, Shuang Ouyang, Jimin Huang, Gang Tian:
Sparse Topical Coding with Sparse Groups. WAIM (1) 2016: 415-426 - [c2]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: 561-568 - 2015
- [c1]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: 70-82
Coauthor Index
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last updated on 2024-11-13 23:53 CET by the dblp team
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