两种基于树结构的基因选择算法 (Two Novel Tree Structure-based Methods for Gene Selection). - Qianqian Xie; Dingfang Li; Wen Zhang (计算机科学, 2015)

基于集成学习的离子通道药物靶点预测 (Predicting Potential Drug Targets from Ion Channel Proteins Based on Ensemble Learning). - Qianqian Xie; Dingfang Li; Wen Zhang (计算机科学, 2015)

KPCA-WT: An Efficient Framework for High Quality Microblog Extraction in Time-Frequency Domain. - Min Peng 002; Xinyuan Dai; Kai Zhang; Guanyin Zeng; Jiahui Zhu; Shuang Ouyang; Qianqian Xie; Gang Tian (WAIM (2), 2016)

Sparse Topical Coding with Sparse Groups. - Min Peng 002; Qianqian Xie; Jiajia Huang; Jiahui Zhu; Shuang Ouyang; Jimin Huang; Gang Tian (WAIM (1), 2016)

Parallelization of Massive Textstream Compression Based on Compressed Sensing. - Min Peng 002; Wang Gao 002; Hua Wang 002; Yanchun Zhang; Jiajia Huang; Qianqian Xie; Gang Hu 003; Gang Tian (ACM Trans. Inf. Syst., 2017)

Neural Sparse Topical Coding. - Min Peng 002; Qianqian Xie; Hua Wang 002; Yanchun Zhang; Xiuzhen Zhang 001; Jimin Huang; Gang Tian (ACL (1), 2018)

Block Bayesian Sparse Topical Coding. - Min Peng 002; Hongliang Shi; Qianqian Xie; Yihan Zhang 005; Hua Wang 002; Zhaoyunfei Li; Jianming Yong (CSCWD, 2018)

Topic-Net Conversation Model. - Min Peng 002; Dian Chen 004; Qianqian Xie; Yanchun Zhang; Hua Wang 002; Gang Hu 003; Wang Gao 002; Yihan Zhang 005 (WISE (1), 2018)

Discriminative Regularized Deep Generative Models for Semi-Supervised Learning. - Qianqian Xie; Jimin Huang; Min Peng 002; Yihan Zhang 005; Kaifei Peng; Hua Wang 002 (ICDM, 2019)

Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning. - Qianqian Xie; Min Peng 002; Jimin Huang; Bin Wang 004; Hua Wang 002 (IJCNN, 2019)

Incorporating word embeddings into topic modeling of short text. - Wang Gao 002; Min Peng 002; Hua Wang 002; Yanchun Zhang; Qianqian Xie; Gang Tian (Knowl. Inf. Syst., 2019)

Bayesian Sparse Topical Coding. - Min Peng 002; Qianqian Xie; Hua Wang 002; Yanchun Zhang; Gang Tian (IEEE Trans. Knowl. Data Eng., 2019)

MSReNet: Multi-step Reformulation for Open-Domain Question Answering. - Weiguang Han; Min Peng 002; Qianqian Xie; Xiuzhen Zhang 001; Hua Wang 002 (NLPCC (2), 2020)

A Two-stage Conversational Query Rewriting Model with Multi-task Learning. - Shuangyong Song; Chao Wang 057; Qianqian Xie; Xinxing Zu; Huan Chen; Haiqing Chen (WWW (Companion Volume), 2020)

Large time decay of weak solutions for the 2D Oldroyd-B model of non-Newtonian flows. - Qianqian Xie; Yan Jia 003; Bo-Qing Dong (Appl. Math. Lett., 2020)

MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning. - Shuangyong Song; Chao Wang 057; Qianqian Xie; Xinxing Zu; Huan Chen; Haiqing Chen (CoRR, 2020)

Generation of topic evolution graphs from short text streams. - Wang Gao 002; Min Peng 002; Hua Wang 002; Yanchun Zhang; Weiguang Han; Gang Hu 003; Qianqian Xie (Neurocomputing, 2020)

DTC: Transfer learning for commonsense machine comprehension. - Weiguang Han; Min Peng 002; Qianqian Xie; Gang Hu 003; Wang Gao 002; Hua Wang 002; Yanchun Zhang; Zuopeng Liu (Neurocomputing, 2020)

Neural joint attention code search over structure embeddings for software Q&A sites. - Gang Hu 003; Min Peng 002; Yihan Zhang 005; Qianqian Xie; Mengting Yuan 001 (J. Syst. Softw., 2020)

Unsupervised software repositories mining and its application to code search. - Gang Hu 003; Min Peng 002; Yihan Zhang 005; Qianqian Xie; Wang Gao 002; Mengting Yuan 001 (Softw. Pract. Exp., 2020)

Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders. - Qianqian Xie; Jimin Huang; Pan Du 001; Min Peng 002 (ACL/IJCNLP (Findings), 2021)

Inductive Topic Variational Graph Auto-Encoder for Text Classification. - Qianqian Xie; Jimin Huang; Pan Du 001; Min Peng 002; Jian-Yun Nie (NAACL-HLT, 2021)

Graph Topic Neural Network for Document Representation. - Qianqian Xie; Jimin Huang; Pan Du 001; Min Peng 002; Jian-Yun Nie (WWW, 2021)

Pre-trained Language Models in Biomedical Domain: A Systematic Survey. - Benyou Wang; Qianqian Xie; Jiahuan Pei; Prayag Tiwari; Zhao Li; Jie Fu 001 (CoRR, 2021)

Neural variational sparse topic model for sparse explainable text representation. - Qianqian Xie; Prayag Tiwari; Deepak Gupta 002; Jimin Huang; Min Peng 002 (Inf. Process. Manag., 2021)

GenCompareSum: a hybrid unsupervised summarization method using salience. - Jennifer Bishop; Qianqian Xie; Sophia Ananiadou (BioNLP@ACL, 2022)

GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. - Qianqian Xie; Jimin Huang; Tulika Saha; Sophia Ananiadou (COLING, 2022)

Readability Controllable Biomedical Document Summarization. - Zheheng Luo; Qianqian Xie; Sophia Ananiadou (EMNLP (Findings), 2022)

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction. - Miao Peng; Ben Liu; Qianqian Xie; Wenjie Xu; Hua Wang 002; Min Peng 002 (EMNLP (Findings), 2022)

DGR: Decomposition Graph Reconstruction for Question Understanding. - Weiguang Han; Jimin Huang; Qianqian Xie; Min Peng 002 (IJCNN, 2022)

Pre-trained language models with domain knowledge for biomedical extractive summarization. - Qianqian Xie; Jennifer Bishop; Prayag Tiwari; Sophia Ananiadou (Knowl. Based Syst., 2022)

Identifying the Development Trends of Emerging Technologies Using Patent Analysis and Web News Data Mining: The Case of Perovskite Solar Cell Technology. - Xin Li 142; Qianqian Xie; Lucheng Huang (IEEE Trans. Engineering Management, 2022)

Graph Neural Collaborative Topic Model for Citation Recommendation. - Qianqian Xie; Yutao Zhu 001; Jimin Huang; Pan Du 001; Jian-Yun Nie (ACM Trans. Inf. Syst., 2022)

Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk. - Jianquan Li; Xiangbo Wu; Xiaokang Liu; Qianqian Xie; Prayag Tiwari; Benyou Wang (ACL (1), 2023)

BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles. - Tomas Goldsack; Zheheng Luo; Qianqian Xie; Carolina Scarton; Matthew Shardlow; Sophia Ananiadou; Chenghua Lin (BioNLP@ACL, 2023)

Zero-shot Temporal Relation Extraction with ChatGPT. - Chenhan Yuan; Qianqian Xie; Sophia Ananiadou (BioNLP@ACL, 2023)

Towards Interpretable Mental Health Analysis with Large Language Models. - Kailai Yang; Shaoxiong Ji; Tianlin Zhang; Qianqian Xie; Ziyan Kuang; Sophia Ananiadou (EMNLP, 2023)

Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. - Weiguang Han; Boyi Zhang; Qianqian Xie; Min Peng 002; Yanzhao Lai; Jimin Huang (KDD, 2023)

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance. - Qianqian Xie; Weiguang Han; Xiao Zhang; Yanzhao Lai; Min Peng 002; Alejandro Lopez-Lira; Jimin Huang (NeurIPS, 2023)

CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. - Zheheng Luo; Qianqian Xie; Sophia Ananiadou (WWW, 2023)

FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization. - Qianqian Xie; Jiayu Zhou; Yifan Peng 002; Fei Wang 001 (CoRR, 2023)

ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization. - Zheheng Luo; Qianqian Xie; Sophia Ananiadou (CoRR, 2023)

Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning. - Weiguang Han; Jimin Huang; Qianqian Xie; Boyi Zhang; Yanzhao Lai; Min Peng 002 (CoRR, 2023)

On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis. - Kailai Yang; Shaoxiong Ji; Tianlin Zhang; Qianqian Xie; Sophia Ananiadou (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 002; Jimin Huang (CoRR, 2023)

A Survey on Biomedical Text Summarization with Pre-trained Language Model. - Qianqian Xie; Zheheng Luo; Benyou Wang; Sophia Ananiadou (CoRR, 2023)

Word Grounded Graph Convolutional Network. - Zhibin Lu; Qianqian Xie; Benyou Wang; Jian-Yun Nie (CoRR, 2023)

PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance. - Qianqian Xie; Weiguang Han; Xiao Zhang; Yanzhao Lai; Min Peng 002; Alejandro Lopez-Lira; Jimin Huang (CoRR, 2023)

MentalLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. - Kailai Yang; Tianlin Zhang; Ziyan Kuang; Qianqian Xie; Sophia Ananiadou (CoRR, 2023)

Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles. - Tomas Goldsack; Zheheng Luo; Qianqian Xie; Carolina Scarton; Matthew Shardlow; Sophia Ananiadou; Chenghua Lin (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)

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)

A scoping review on multimodal deep learning in biomedical images and texts. - Zhaoyi Sun; Mingquan Lin; Qingqing Zhu; Qianqian Xie; Fei Wang 001; Zhiyong Lu; Yifan Peng 002 (J. Biomed. Informatics, 2023)

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy. - Mengxi Xiao; Qianqian Xie; Ziyan Kuang; Zhicheng Liu; Kailai Yang; Min Peng 002; Weiguang Han; Jimin Huang (ACL (1), 2024)

Enhancing Content-based Recommendation via Large Language Model. - Wentao Xu; Qianqian Xie; Shuo Yang; Jiangxia Cao; Shuchao Pang (CIKM, 2024)

AuditWen: An Open-Source Large Language Model for Audit. - Jiajia Huang; Haoran Zhu; Chao Xu; Tianming Zhan; Qianqian Xie; Jimin Huang (CCL, 2024)

LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation. - Jennifer Bishop; Sophia Ananiadou; Qianqian Xie (LREC/COLING, 2024)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. - Zhiwei Liu 003; Kailai Yang; Qianqian Xie; Tianlin Zhang; Sophia Ananiadou (KDD, 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; Meikang Qiu; Sophia Ananiadou; Min Peng 002; Jimin Huang; Qianqian Xie (KDD, 2024)

HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection. - Yuxin Wang; Duanyu Feng; Yongfu Dai; Zhengyu Chen; Jimin Huang; Sophia Ananiadou; Qianqian Xie; Hao Wang (NeurIPS, 2024)

FinBen: A 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; et al. (NeurIPS, 2024)

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models. - Kailai Yang; Zhiwei Liu 003; Qianqian Xie; Jimin Huang; Tianlin Zhang; Sophia Ananiadou (NeurIPS, 2024)

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. - Yangyang Yu; Zhiyuan Yao 001; Haohang Li; Zhiyang Deng; Yuechen Jiang; Yupeng Cao; Zhi Chen; Jordan W. Suchow; Zhenyu Cui; Rong Liu; Zhaozhuo Xu; Denghui Zhang; et al. (NeurIPS, 2024)

SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content. - Tianlin Zhang; Kailai Yang; Shaoxiong Ji; Boyang Liu 002; Qianqian Xie; Sophia Ananiadou (SIGIR, 2024)

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. - Kailai Yang; Tianlin Zhang; Ziyan Kuang; Qianqian Xie; Jimin Huang; Sophia Ananiadou (WWW, 2024)

Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. - Chenhan Yuan; Qianqian Xie; Jimin Huang; Sophia Ananiadou (WWW, 2024)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. - Zhiwei Liu 003; Kailai Yang; Tianlin Zhang; Qianqian Xie; Zeping Yu; Sophia Ananiadou (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 002; Jimin Huang; Qianqian Xie (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; et al. (CoRR, 2024)

Me LLaMA: Foundation Large Language Models for Medical Applications. - Qianqian Xie; Qingyu Chen 001; Aokun Chen; Cheng Peng 009; Yan Hu; Fongci Lin; Xueqing Peng; Jimin Huang; Jeffrey Zhang 010; Vipina Kuttichi Keloth; Xingyu Zhou; Huan He; et al. (CoRR, 2024)

The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models. - Zheheng Luo; Qianqian Xie; Sophia Ananiadou (CoRR, 2024)

Factual Consistency Evaluation of Summarisation in the Era of Large Language Models. - Zheheng Luo; Qianqian Xie; Sophia Ananiadou (CoRR, 2024)

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks. - Gang Hu 003; Ke Qin; Chenhan Yuan; Min Peng 002; Alejandro Lopez-Lira; Benyou Wang; Sophia Ananiadou; Wanlong Yu; Jimin Huang; Qianqian Xie (CoRR, 2024)

MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models. - Kailai Yang; Zhiwei Liu 001; Qianqian Xie; Tianlin Zhang; Nirui Song; Jimin Huang; Ziyan Kuang; Sophia Ananiadou (CoRR, 2024)

Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams. - Zheheng Luo; Chenhan Yuan; Qianqian Xie; Sophia Ananiadou (CoRR, 2024)

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. - Yangyang Yu; Zhiyuan Yao 001; Haohang Li; Zhiyang Deng; Yupeng Cao; Zhi Chen; Jordan W. Suchow; Rong Liu; Zhenyu Cui; Denghui Zhang; Koduvayur Subbalakshmi; Guojun Xiong; et al. (CoRR, 2024)

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. - Qianqian Xie; Dong Li; Mengxi Xiao; Zihao Jiang 012; Ruoyu Xiang; Xiao Zhang; Zhengyu Chen; Yueru He; Weiguang Han; Yuzhe Yang 002; Shunian Chen; Yifei Zhang; et al. (CoRR, 2024)

Selective Preference Optimization via Token-Level Reward Function Estimation. - Kailai Yang; Zhiwei Liu 003; Qianqian Xie; Jimin Huang; Erxue Min; Sophia Ananiadou (CoRR, 2024)

LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs. - Jiasheng Zhang; Jialin Chen; Ali Maatouk; Ngoc Bui; Qianqian Xie; Leandros Tassiulas; Jie Shao 001; Hua Xu 001; Rex Ying (CoRR, 2024)

Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model. - 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; et al. (CoRR, 2024)

AuditWen:An Open-Source Large Language Model for Audit. - Jiajia Huang; Haoran Zhu; Chao Xu; Tianming Zhan; Qianqian Xie; Jimin Huang (CoRR, 2024)

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models. - Yan Wang; Jimin Huang; Huan He; Vincent J. Zhang; Yujia Zhou 003; Xubing Hao; Pritham Ram; Lingfei Qian; Qianqian Xie; Ruey-Ling Weng; Fongci Lin; Yan Hu; et al. (CoRR, 2024)

INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent. - Haohang Li; Yupeng Cao; Yangyang Yu; Shashidhar Reddy Javaji; Zhiyang Deng; Yueru He; Yuechen Jiang; Zining Zhu 005; Koduvayur Subbalakshmi; Guojun Xiong; Jimin Huang; Lingfei Qian; et al. (CoRR, 2024)

Graph Contrastive Topic Model. - Zheheng Luo; Lei Liu; Sophia Ananiadou; Qianqian Xie (Expert Syst. Appl., 2024)

Factual consistency evaluation of summarization in the Era of large language models. - Zheheng Luo; Qianqian Xie; Sophia Ananiadou (Expert Syst. Appl., 2024)

Edge contrastive learning for link prediction. - Lei Liu 072; Qianqian Xie; Weidong Wen; Jiahui Zhu; Min Peng 002 (Inf. Process. Manag., 2024)

Temporal relation extraction with contrastive prototypical sampling. - Chenhan Yuan; Qianqian Xie; Sophia Ananiadou (Knowl. Based Syst., 2024)

Research funding in different SCI disciplines: A comparison analysis based on Web of Science. - Wencan Tian; Ruonan Cai; Zhichao Fang; Qianqian Xie; Zhigang Hu; Xianwen Wang (Quant. Sci. Stud., 2024)

Pre-trained Language Models in Biomedical Domain: A Systematic Survey. - Benyou Wang; Qianqian Xie; Jiahuan Pei; Zhihong Chen; Prayag Tiwari; Zhao Li; Jie Fu 001 (ACM Comput. Surv., 2024)

Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization. - Qianqian Xie; Prayag Tiwari; Sophia Ananiadou (IEEE J. Biomed. Health Informatics, 2024)

INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent. - Haohang Li; Yupeng Cao; Yangyang Yu; Shashidhar Reddy Javaji; Zhiyang Deng; Yueru He; Yuechen Jiang; Zining Zhu 005; K. P. Subbalakshmi; Jimin Huang; Lingfei Qian; Xueqing Peng; et al. (ACL (1), 2025)

RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information. - Zhiwei Liu 003; Kailai Yang; Qianqian Xie; Christine de Kock; Sophia Ananiadou; Eduard H. Hovy (ACL (1), 2025)

EMPEC: A Comprehensive Benchmark for Evaluating Large Language Models Across Diverse Healthcare Professions. - Zheheng Luo; Chenhan Yuan; Qianqian Xie; Sophia Ananiadou (ACL (Findings), 2025)

FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading. - Guojun Xiong; Zhiyang Deng; Keyi Wang; Yupeng Cao; Haohang Li; Yangyang Yu; Xueqing Peng; Mingquan Lin; Kaleb E. Smith; Xiao-Yang Liu; Jimin Huang; Sophia Ananiadou; et al. (ACL (Findings), 2025)

Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal). - Chung-Chi Chen 001; Antonio Moreno-Sandoval; Jimin Huang; Qianqian Xie; Sophia Ananiadou; Hsin-Hsi Chen (COLING Workshops, 2025)

FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task. - Zhiwei Liu 003; Keyi Wang; Zhuo Bao; Xin Zhang 108; Jiping Dong; Kailai Yang; Mohsinul Kabir; Polydoros Giannouris; Rui Xing; Seongchan Park; Jaehong Kim; Dong Li; et al. (COLING Workshops, 2025)

LAiW: A Chinese Legal Large Language Models Benchmark. - Yongfu Dai; Duanyu Feng; Jimin Huang; Haochen Jia; Qianqian Xie; Yifang Zhang; Weiguang Han; Wei Tian; Hao Wang (COLING, 2025)

ELAINE-medLLM: Lightweight English Japanese Chinese Trilingual Large Language Model for Bio-medical Domain. - Ken Yano; Zheheng Luo; Jimin Huang; Qianqian Xie; Masaki Asada; Chenhan Yuan; Kailai Yang; Makoto Miwa; Sophia Ananiadou; Jun'ichi Tsujii (COLING, 2025)

A Novel Prompt Engineering Framework of Large Language Models for Detecting Gout Flares. - Lingfei Qian; Qinhan Hu; Qianqian Xie; Eugenia Yupei Chock; Hua Xu 001; Hong Na (ICHI, 2025)

UCL-Bench: A Chinese User-Centric Legal Benchmark for Large Language Models. - Ruoli Gan; Duanyu Feng; Chen Zhang 020; Zhihang Lin; Haochen Jia; Hao Wang; Zhenyang Cai; Lei Cui; Qianqian Xie; Jimin Huang; Benyou Wang (NAACL (Findings), 2025)

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models. - Yuzhe Yang 002; Yifei Zhang; Yan Hu; Yilin Guo; Ruoli Gan; Yueru He; Mingcong Lei; Xiao Zhang; Haining Wang; Qianqian Xie; Jimin Huang; Honghai Yu; et al. (NAACL (Findings), 2025)

FMDLlama: Financial Misinformation Detection Based on Large Language Models. - Zhiwei Liu 003; Xin Zhang 108; Kailai Yang; Qianqian Xie; Jimin Huang; Sophia Ananiadou (WWW (Companion Volume), 2025)

CDEMapper: enhancing National Institutes of Health common data element use with large language models. - Yan Wang; Jimin Huang; Huan He; Vincent Zhang; Yujia Zhou 003; Xubing Hao; Pritham Ram; Lingfei Qian; Qianqian Xie; Ruey-Ling Weng; Fongci Lin; Yan Hu; et al. (J. Am. Medical Informatics Assoc., 2025)

Medical foundation large language models for comprehensive text analysis and beyond. - Qianqian Xie; Qingyu Chen 001; Aokun Chen; Cheng Peng 009; Yan Hu; Fongci Lin; Xueqing Peng; Jimin Huang; Jeffrey Zhang 010; Vipina Kuttichi Keloth; Xinyu Zhou; Lingfei Qian; et al. (npj Digit. Medicine, 2025)

Open FinLLM Leaderboard: Towards Financial AI Readiness. - Shengyuan Colin Lin; Felix Tian; Keyi Wang; Xingjian Zhao; Jimin Huang; Qianqian Xie; Luca Borella; Matt White; Christina Dan Wang; Kairong Xiao; Xiao-Yang Liu Yanglet; Li Deng (CoRR, 2025)

Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models. - Mengxi Xiao; Zihao Jiang 012; Lingfei Qian; Zhengyu Chen; Yueru He; Yijing Xu; Yuechen Jiang; Dong Li; Ruey-Ling Weng; Min Peng 002; Jimin Huang; Sophia Ananiadou; et al. (CoRR, 2025)

Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance. - Lingfei Qian; Weipeng Zhou; Yan Wang; Xueqing Peng; Jimin Huang; Qianqian Xie (CoRR, 2025)

Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance. - Xueqing Peng; Triantafillos Papadopoulos; Efstathia Soufleri; Polydoros Giannouris; Ruoyu Xiang; Yan Wang; Lingfei Qian; Jimin Huang; Qianqian Xie; Sophia Ananiadou (CoRR, 2025)

FinAudio: A Benchmark for Audio Large Language Models in Financial Applications. - Yupeng Cao; Haohang Li; Yangyang Yu; Shashidhar Reddy Javaji; Yueru He; Jimin Huang; Zining Zhu 005; Qianqian Xie; Xiao-Yang Liu; Koduvayur Subbalakshmi; Meikang Qiu; Sophia Ananiadou; et al. (CoRR, 2025)

FinTagging: An LLM-ready Benchmark for Extracting and Structuring Financial Information. - Yan Wang; Yang Ren; Lingfei Qian; Xueqing Peng; Keyi Wang; Yi Han; Dongji Feng; Xiao-Yang Liu; Jimin Huang; Qianqian Xie (CoRR, 2025)

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs. - Zhiwei Liu 001; Lingfei Qian; Qianqian Xie; Jimin Huang; Kailai Yang; Sophia Ananiadou (CoRR, 2025)

A comparison of citation-based clustering and topic modeling for science mapping. - Qianqian Xie; Ludo Waltman (Scientometrics, 2025)

A Retrieval-Augmented Multi-Agent Framework for Psychiatry Diagnosis. - Mengxi Xiao; Mang Ye; Ben Liu; Xiaofen Zong; He Li; Jimin Huang; Qianqian Xie; Min Peng 002 (CoRR, 2025)

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. - Xueqing Peng; Lingfei Qian; Yan Wang; Ruoyu Xiang; Yueru He; Yang Ren; Mingyang Jiang; Jeff Zhao; Huan He; Yi Han; Yun Feng; Yuechen Jiang; et al. (CoRR, 2025)

AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment. - Jinpeng Hu; Ao Wang; Qianqian Xie; Hui Ma; Zhuo Li; Dan Guo 001 (CoRR, 2025)

From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models. - Ziyan Kuang; Feiyu Zhu; Maowei Jiang; Yanzhao Lai; Zelin Wang; Zhitong Wang; Meikang Qiu; Jiajia Huang; Min Peng 002; Qianqian Xie; Sophia Ananiadou (CoRR, 2025)

A quantitative assessment of potential benefits and challenges of international researcher mobility for home and host countries: evidence from the Chinese Scholarship Council programmes. - Qianqian Xie; Alfredo Yegros-Yegros (Scientometrics, 2025)