Qianqian Xie

Orcid: 0000-0002-9588-7454

According to our database1, Qianqian Xie authored at least 85 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization.
IEEE J. Biomed. Health Informatics, April, 2024

Pre-trained Language Models in Biomedical Domain: A Systematic Survey.
ACM Comput. Surv., March, 2024

Temporal relation extraction with contrastive prototypical sampling.
Knowl. Based Syst., 2024

Edge contrastive learning for link prediction.
Inf. Process. Manag., 2024

Factual consistency evaluation of summarization in the Era of large language models.
Expert Syst. Appl., 2024

Graph Contrastive Topic Model.
Expert Syst. Appl., 2024

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

FMDLlama: Financial Misinformation Detection based on Large Language Models.
CoRR, 2024

LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs.
CoRR, 2024

Selective Preference Optimization via Token-Level Reward Function Estimation.
CoRR, 2024

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications.
CoRR, 2024

HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection.
CoRR, 2024

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making.
CoRR, 2024

Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams.
CoRR, 2024

RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information.
CoRR, 2024

MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models.
CoRR, 2024

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks.
CoRR, 2024

Factual Consistency Evaluation of Summarisation in the Era of Large Language Models.
CoRR, 2024

The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models.
CoRR, 2024

Me LLaMA: Foundation Large Language Models for Medical Applications.
CoRR, 2024

The FinBen: An Holistic Financial Benchmark for Large Language Models.
CoRR, 2024

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English.
CoRR, 2024

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis.
CoRR, 2024

Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Enhancing Content-based Recommendation via Large Language Model.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
A scoping review on multimodal deep learning in biomedical images and texts.
J. Biomed. Informatics, October, 2023

LAiW: A Chinese Legal Large Language Models Benchmark (A Technical Report).
CoRR, 2023

Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models.
CoRR, 2023

Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles.
CoRR, 2023

MentalLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models.
CoRR, 2023

A comparison of citation-based clustering and topic modeling for science mapping.
CoRR, 2023

PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.
CoRR, 2023

Word Grounded Graph Convolutional Network.
CoRR, 2023

A Survey on Biomedical Text Summarization with Pre-trained Language Model.
CoRR, 2023

The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges.
CoRR, 2023

On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis.
CoRR, 2023

Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning.
CoRR, 2023

ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization.
CoRR, 2023

FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization.
CoRR, 2023

CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization.
Proceedings of the ACM Web Conference 2023, 2023

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Interpretable Mental Health Analysis with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Zero-shot Temporal Relation Extraction with ChatGPT.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Graph Neural Collaborative Topic Model for Citation Recommendation.
ACM Trans. Inf. Syst., 2022

Identifying the Development Trends of Emerging Technologies Using Patent Analysis and Web News Data Mining: The Case of Perovskite Solar Cell Technology.
IEEE Trans. Engineering Management, 2022

Pre-trained language models with domain knowledge for biomedical extractive summarization.
Knowl. Based Syst., 2022

DGR: Decomposition Graph Reconstruction for Question Understanding.
Proceedings of the International Joint Conference on Neural Networks, 2022

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Readability Controllable Biomedical Document Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

GenCompareSum: a hybrid unsupervised summarization method using salience.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021
Neural variational sparse topic model for sparse explainable text representation.
Inf. Process. Manag., 2021

Pre-trained Language Models in Biomedical Domain: A Systematic Survey.
CoRR, 2021

Graph Topic Neural Network for Document Representation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Inductive Topic Variational Graph Auto-Encoder for Text Classification.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Unsupervised software repositories mining and its application to code search.
Softw. Pract. Exp., 2020

Neural joint attention code search over structure embeddings for software Q&A sites.
J. Syst. Softw., 2020

DTC: Transfer learning for commonsense machine comprehension.
Neurocomputing, 2020

Generation of topic evolution graphs from short text streams.
Neurocomputing, 2020

MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning.
CoRR, 2020

Large time decay of weak solutions for the 2D Oldroyd-B model of non-Newtonian flows.
Appl. Math. Lett., 2020

A Two-stage Conversational Query Rewriting Model with Multi-task Learning.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

MSReNet: Multi-step Reformulation for Open-Domain Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

2019
Bayesian Sparse Topical Coding.
IEEE Trans. Knowl. Data Eng., 2019

Incorporating word embeddings into topic modeling of short text.
Knowl. Inf. Syst., 2019

Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Discriminative Regularized Deep Generative Models for Semi-Supervised Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Topic-Net Conversation Model.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Block Bayesian Sparse Topical Coding.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Neural Sparse Topical Coding.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Parallelization of Massive Textstream Compression Based on Compressed Sensing.
ACM Trans. Inf. Syst., 2017

2016
Sparse Topical Coding with Sparse Groups.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

KPCA-WT: An Efficient Framework for High Quality Microblog Extraction in Time-Frequency Domain.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

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).
计算机科学, 2015

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


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