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AugGPT: Leveraging ChatGPT for Text Data Augmentation
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2025, 卷号: 11, 期号: 3, 页码: 907-918
作者:
Adobe PDF(1043Kb)
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浏览/下载:193/31
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提交时间:2025/03/14
Contrastive Learning - Data assimilation - Spatio-temporal data
Augmentation methods - Data augmentation - Few-shot learning - Language model - Language processing - Large language model - Natural language processing - Natural languages - Sample sizes - Text data
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2025, 卷号: 11, 期号: 3, 页码: 1027-1041
作者:
Wu, Zihao
;
Zhang, Lu
;
Cao, Chao
;
Yu, Xiaowei
;
Liu, Zhengliang
Adobe PDF(6388Kb)
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浏览/下载:55/8
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提交时间:2025/02/28
Inference engines
Intelligent systems
Network security
Problem oriented languages
Unified Modeling Language
Language inference
Language model
Language processing
Large language model
Natural language inference
Natural language processing
Natural languages
Performance
Radiology reports
Spatial enhanced multi-level alignment learning for text-image person re-identification with coupled noisy labels
期刊论文
MULTIMEDIA SYSTEMS, 2025, 卷号: 31, 期号: 2
作者:
Jiacheng Zhao(赵佳程)
;
Haojie Che(车浩杰)
;
Yongxi Li(李泳锡)
Adobe PDF(1617Kb)
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浏览/下载:78/4
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提交时间:2025/03/12
Adversarial machine learning
Contrastive Learning
Feature extraction
Image coding
Image denoising
Natural language processing systems
Optical character recognition
Query languages
Structured Query Language
Cross-modal
Cross-modal alignment
Language description
Multilevels
Natural languages
Noisy correspondence
Noisy labels
Person re identifications
Text images
Text-image person re-identification
Performance Evaluation of Reddit Comments Using Machine Learning and Natural Language Processing Methods in Sentiment Analysis
会议论文
COMPUTATIONAL AND EXPERIMENTAL SIMULATIONS IN ENGINEERING, ICCES 2024-VOL 2, null,null,SINGAPORE, AUG 03-06, 2024
作者:
Zhang, Xiaoxia
;
Qi, Xiuyuan
;
Teng, Zixin
Adobe PDF(1710Kb)
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浏览/下载:176/2
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提交时间:2024/06/17
Sentiment Analysis
Machine Learning
Natural Language Processing
Reddit
RoBERTa
VisEval: A Benchmark for Data Visualization in the Era of Large Language Models
期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2025, 卷号: 31, 期号: 1, 页码: 1301-1311
作者:
Chen, Nan
;
Zhang, Yuge
;
Xu, Jiahang
;
Ren, Kan
;
Yang, Yuqing
Adobe PDF(16656Kb)
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浏览/下载:298/41
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提交时间:2024/10/11
Large datasets
Natural language processing systems
Spatio-temporal data
Visual languages
Visualization
Automatic visualization
Benchmark
Language model
Language processing
Language visualization
Large language model
Natural languages
Processing design
Visual data analysis
Visualization evaluation
Performance Evaluation of Reddit Comments Using Machine Learning and Natural Language Processing Methods in Sentiment Analysis
会议论文
MECHANISMS AND MACHINE SCIENCE, Singapore, Singapore, August 3, 2024 - August 6, 2024
作者:
收藏
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浏览/下载:64/0
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提交时间:2025/02/12
Adversarial machine learning
Contrastive Learning
Natural language processing systems
Fine grained
Language processing
Learning languages
Machine-learning
Natural language processing
Natural languages
Performances evaluation
Reddit
RoBERTa
Sentiment analysis
Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review
期刊论文
JOURNAL OF MEDICAL INTERNET RESEARCH, 2024, 卷号: 26
作者:
Wang, Leyao
;
Wan, Zhiyu
;
Ni, Congning
;
Song, Qingyuan
;
Li, Yang
Adobe PDF(750Kb)
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收藏
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浏览/下载:270/2
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提交时间:2024/12/16
large language model
ChatGPT
artificial intelligence
natural language processing
health care
summarization
medical knowledge inquiry
reliability
bias
privacy
Research on Enhanced Graph Neural Network for Automated Knowledge Graph Construction
会议论文
2024 5TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTER APPLICATION (ICMLCA), Hangzhou, China, 18-20 Oct. 2024
作者:
Qianyu Chen
Adobe PDF(774Kb)
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浏览/下载:137/2
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提交时间:2024/11/28
Graph algorithms
Graph neural networks
Neural network models
Attention mechanisms
Automated methods
Downstream applications
Graph construction
Graph neural networks
Knowledge graph construction
Knowledge graphs
Language processing
Natural languages
Process data
Reversible jump attack to textual classifiers with modification reduction
期刊论文
MACHINE LEARNING, 2024, 卷号: 113, 期号: 9, 页码: 5907-5937
作者:
Ni, Mingze
;
Sun, Zhensu
Adobe PDF(3428Kb)
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收藏
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浏览/下载:455/54
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提交时间:2024/05/11
Artificial intelligence
% reductions
Adversarial learning
Deterministics
Language processing
Metropolis Hastings
Natural language processing
Natural languages
Processing model
Reversible jump
Textual attack
Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 7, 页码: 3062-3075
作者:
Mingze Ni
;
Zhensu Sun
;
Wei Liu
Adobe PDF(4906Kb)
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收藏
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浏览/下载:474/49
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提交时间:2024/03/29
Adversarial learning
evasion attacks
natural language processing
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