Cover Image

Empowering Large Language Models for Textual Data Augmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yichuan, Ding, Kaize, Wang, Jianling, Lee, Kyumin
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
by: Xu, Zexing, et al.
Published: (2024)

STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
by: Lee, Kyumin, et al.
Published: (2025)

MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
by: Li, Yichuan, et al.
Published: (2024)

Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
by: Mou, Guanyi, et al.
Published: (2024)

AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
by: Wang, Ziqing, et al.
Published: (2025)

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
by: Luo, Junyu, et al.
Published: (2024)

Enhancing Traffic Prediction with Textual Data Using Large Language Models
by: Huang, Xiannan
Published: (2024)

Synthetic Clinical Notes for Rare ICD Codes: A Data-Centric Framework for Long-Tail Medical Coding
by: Vo, Truong, et al.
Published: (2025)

Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models
by: He, Yunhong, et al.
Published: (2024)

Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
by: Bedemariam, Rewina, et al.
Published: (2025)

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

Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data
by: De Santis, Antonio, et al.
Published: (2024)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection
by: Yang, Tiankai, et al.
Published: (2024)

Empowering Working Memory for Large Language Model Agents
by: Guo, Jing, et al.
Published: (2023)

Textual Aesthetics in Large Language Models
by: Jiang, Lingjie, et al.
Published: (2024)

MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026)

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)

Empowering Private Tutoring by Chaining Large Language Models
by: Chen, Yulin, et al.
Published: (2023)

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
by: Zhu, Fengbin, et al.
Published: (2024)

Empowering Large Language Model Agents through Action Learning
by: Zhao, Haiteng, et al.
Published: (2024)

Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
by: Mao, Qiheng, et al.
Published: (2024)

Towards Generating Informative Textual Description for Neurons in Language Models
by: Mondal, Shrayani, et al.
Published: (2024)

Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering
by: Lee, Wonjin, et al.
Published: (2024)

AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
by: Luo, Haipeng, et al.
Published: (2025)

Diversity-oriented Data Augmentation with Large Language Models
by: Wang, Zaitian, et al.
Published: (2025)

Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models
by: Wen, Haomin, et al.
Published: (2024)

LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following
by: Shi, Kaize, et al.
Published: (2023)

Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning
by: Wang, Kaipeng, et al.
Published: (2024)

To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
by: Barbulescu, George-Octavian, et al.
Published: (2024)

Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast
by: Feng, Jinyuan, et al.
Published: (2026)

WizardCoder: Empowering Code Large Language Models with Evol-Instruct
by: Luo, Ziyang, et al.
Published: (2023)

Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models
by: Pelletier, Alexander R., et al.
Published: (2024)

Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
by: Hu, Zhengyu, et al.
Published: (2024)

Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay
by: de Carvalho, Gonçalo Hora, et al.
Published: (2024)

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
by: Ma, Luyi, et al.
Published: (2024)

Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean
by: Choi, ChangSu, et al.
Published: (2024)

Hate Speech Detection using Large Language Models with Data Augmentation and Feature Enhancement
by: Nge, Brian Jing Hong, et al.
Published: (2026)

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models
by: Wen, Xumeng, et al.
Published: (2025)

Retrieval-Augmented Generation for Large Language Models: A Survey
by: Gao, Yunfan, et al.
Published: (2023)