Copertina

Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chai, Yaping, Xie, Haoran, Qin, Joe S.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Semantic-preserved Augmentation with Confidence-weighted Fine-tuning for Aspect Category Sentiment Analysis
di: Chai, Yaping, et al.
Pubblicazione: (2025)

Emotion-Enhanced Multi-Task Learning with LLMs for Aspect Category Sentiment Analysis
di: Chai, Yaping, et al.
Pubblicazione: (2025)

Task-Routed Mixture-of-Experts with Cognitive Appraisal for Implicit Sentiment Analysis
di: Chai, Yaping, et al.
Pubblicazione: (2026)

A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities
di: Xiang, Lu, et al.
Pubblicazione: (2025)

Efficiently Integrate Large Language Models with Visual Perception: A Survey from the Training Paradigm Perspective
di: Ma, Xiaorui, et al.
Pubblicazione: (2025)

A Comprehensive Survey of Contamination Detection Methods in Large Language Models
di: Ravaut, Mathieu, et al.
Pubblicazione: (2024)

Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges
di: Ma, Bolei, et al.
Pubblicazione: (2025)

Continual Learning in Large Language Models: Methods, Challenges, and Opportunities
di: Chen, Hongyang, et al.
Pubblicazione: (2026)

A Survey on Data Synthesis and Augmentation for Large Language Models
di: Wang, Ke, et al.
Pubblicazione: (2024)

Tibetan Language and AI: A Comprehensive Survey of Resources, Methods and Challenges
di: Huang, Cheng, et al.
Pubblicazione: (2025)

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey
di: Gan, Aoran, et al.
Pubblicazione: (2025)

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities
di: Huang, Yiming, et al.
Pubblicazione: (2025)

Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
di: Ding, Bosheng, et al.
Pubblicazione: (2024)

Exploring ChatGPT-based Augmentation Strategies for Contrastive Aspect-based Sentiment Analysis
di: Xu, Lingling, et al.
Pubblicazione: (2024)

Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities
di: Liu, Changchun, et al.
Pubblicazione: (2025)

A Survey on Retrieval-Augmented Text Generation for Large Language Models
di: Huang, Yizheng, et al.
Pubblicazione: (2024)

Implicit Reasoning in Large Language Models: A Comprehensive Survey
di: Li, Jindong, et al.
Pubblicazione: (2025)

A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
di: Zhang, Haopeng, et al.
Pubblicazione: (2024)

A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods
di: Yang, Wenli, et al.
Pubblicazione: (2025)

Large Language Models Hallucination: A Comprehensive Survey
di: Alansari, Aisha, et al.
Pubblicazione: (2025)

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
di: Liu, Yajiao, et al.
Pubblicazione: (2025)

A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
di: Xiao, Hanguang, et al.
Pubblicazione: (2024)

When Text Embedding Meets Large Language Model: A Comprehensive Survey
di: Nie, Zhijie, et al.
Pubblicazione: (2024)

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges
di: Yan, Yibo, et al.
Pubblicazione: (2024)

CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering
di: Li, Zongxi, et al.
Pubblicazione: (2025)

From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models
di: Lalai, Harsh Nishant, et al.
Pubblicazione: (2024)

Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
di: Samuel, Vinay, et al.
Pubblicazione: (2023)

Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation
di: Zhou, Wei, et al.
Pubblicazione: (2025)

Continual Learning of Large Language Models: A Comprehensive Survey
di: Shi, Haizhou, et al.
Pubblicazione: (2024)

Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data Opportunities
di: Tatarinov, Nikita, et al.
Pubblicazione: (2025)

Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey
di: Yang, Hao, et al.
Pubblicazione: (2024)

Advancing NLP Models with Strategic Text Augmentation: A Comprehensive Study of Augmentation Methods and Curriculum Strategies
di: Kesgin, Himmet Toprak, et al.
Pubblicazione: (2024)

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
di: Huang, Lei, et al.
Pubblicazione: (2023)

Datasets for Large Language Models: A Comprehensive Survey
di: Liu, Yang, et al.
Pubblicazione: (2024)

Large Language Models on Graphs: A Comprehensive Survey
di: Jin, Bowen, et al.
Pubblicazione: (2023)

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
di: Epure, Elena V., et al.
Pubblicazione: (2025)

Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models
di: Wehner, Jan, et al.
Pubblicazione: (2025)

Watermarking Large Language Models and the Generated Content: Opportunities and Challenges
di: Zhang, Ruisi, et al.
Pubblicazione: (2024)

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
di: Dang, Yunkai, et al.
Pubblicazione: (2024)

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
di: Tonmoy, S. M Towhidul Islam, et al.
Pubblicazione: (2024)