Empowering Large Language Models for Textual Data Augmentation
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Yichuan, Ding, Kaize, Wang, Jianling, Lee, Kyumin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
por: Xu, Zexing, et al.
Publicado: (2024)
por: Xu, Zexing, et al.
Publicado: (2024)
STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
por: Lee, Kyumin, et al.
Publicado: (2025)
por: Lee, Kyumin, et al.
Publicado: (2025)
MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
por: Li, Yichuan, et al.
Publicado: (2024)
por: Li, Yichuan, et al.
Publicado: (2024)
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
por: Mou, Guanyi, et al.
Publicado: (2024)
por: Mou, Guanyi, et al.
Publicado: (2024)
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
por: Wang, Ziqing, et al.
Publicado: (2025)
por: Wang, Ziqing, et al.
Publicado: (2025)
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
por: Luo, Junyu, et al.
Publicado: (2024)
por: Luo, Junyu, et al.
Publicado: (2024)
Enhancing Traffic Prediction with Textual Data Using Large Language Models
por: Huang, Xiannan
Publicado: (2024)
por: Huang, Xiannan
Publicado: (2024)
Synthetic Clinical Notes for Rare ICD Codes: A Data-Centric Framework for Long-Tail Medical Coding
por: Vo, Truong, et al.
Publicado: (2025)
por: Vo, Truong, et al.
Publicado: (2025)
Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models
por: He, Yunhong, et al.
Publicado: (2024)
por: He, Yunhong, et al.
Publicado: (2024)
Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
por: Bedemariam, Rewina, et al.
Publicado: (2025)
por: Bedemariam, Rewina, et al.
Publicado: (2025)
Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
por: Ding, Bosheng, et al.
Publicado: (2024)
por: Ding, Bosheng, et al.
Publicado: (2024)
Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data
por: De Santis, Antonio, et al.
Publicado: (2024)
por: De Santis, Antonio, et al.
Publicado: (2024)
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
por: Yang, Tiankai, et al.
Publicado: (2024)
por: Yang, Tiankai, et al.
Publicado: (2024)
Empowering Working Memory for Large Language Model Agents
por: Guo, Jing, et al.
Publicado: (2023)
por: Guo, Jing, et al.
Publicado: (2023)
Textual Aesthetics in Large Language Models
por: Jiang, Lingjie, et al.
Publicado: (2024)
por: Jiang, Lingjie, et al.
Publicado: (2024)
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
por: Wang, Ziqing, et al.
Publicado: (2026)
por: Wang, Ziqing, et al.
Publicado: (2026)
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
por: Xu, Ruiyao, et al.
Publicado: (2026)
por: Xu, Ruiyao, et al.
Publicado: (2026)
Empowering Private Tutoring by Chaining Large Language Models
por: Chen, Yulin, et al.
Publicado: (2023)
por: Chen, Yulin, et al.
Publicado: (2023)
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
por: Zhu, Fengbin, et al.
Publicado: (2024)
por: Zhu, Fengbin, et al.
Publicado: (2024)
Empowering Large Language Model Agents through Action Learning
por: Zhao, Haiteng, et al.
Publicado: (2024)
por: Zhao, Haiteng, et al.
Publicado: (2024)
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
por: Mao, Qiheng, et al.
Publicado: (2024)
por: Mao, Qiheng, et al.
Publicado: (2024)
Towards Generating Informative Textual Description for Neurons in Language Models
por: Mondal, Shrayani, et al.
Publicado: (2024)
por: Mondal, Shrayani, et al.
Publicado: (2024)
Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering
por: Lee, Wonjin, et al.
Publicado: (2024)
por: Lee, Wonjin, et al.
Publicado: (2024)
AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
por: Luo, Haipeng, et al.
Publicado: (2025)
por: Luo, Haipeng, et al.
Publicado: (2025)
Diversity-oriented Data Augmentation with Large Language Models
por: Wang, Zaitian, et al.
Publicado: (2025)
por: Wang, Zaitian, et al.
Publicado: (2025)
Large Language Models Empowered Personalized Web Agents
por: Cai, Hongru, et al.
Publicado: (2024)
por: Cai, Hongru, et al.
Publicado: (2024)
OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models
por: Wen, Haomin, et al.
Publicado: (2024)
por: Wen, Haomin, et al.
Publicado: (2024)
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following
por: Shi, Kaize, et al.
Publicado: (2023)
por: Shi, Kaize, et al.
Publicado: (2023)
Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning
por: Wang, Kaipeng, et al.
Publicado: (2024)
por: Wang, Kaipeng, et al.
Publicado: (2024)
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
por: Barbulescu, George-Octavian, et al.
Publicado: (2024)
por: Barbulescu, George-Octavian, et al.
Publicado: (2024)
Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast
por: Feng, Jinyuan, et al.
Publicado: (2026)
por: Feng, Jinyuan, et al.
Publicado: (2026)
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
por: Luo, Ziyang, et al.
Publicado: (2023)
por: Luo, Ziyang, et al.
Publicado: (2023)
Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models
por: Pelletier, Alexander R., et al.
Publicado: (2024)
por: Pelletier, Alexander R., et al.
Publicado: (2024)
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
por: Hu, Zhengyu, et al.
Publicado: (2024)
por: Hu, Zhengyu, et al.
Publicado: (2024)
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay
por: de Carvalho, Gonçalo Hora, et al.
Publicado: (2024)
por: de Carvalho, Gonçalo Hora, et al.
Publicado: (2024)
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
por: Ma, Luyi, et al.
Publicado: (2024)
por: Ma, Luyi, et al.
Publicado: (2024)
Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean
por: Choi, ChangSu, et al.
Publicado: (2024)
por: Choi, ChangSu, et al.
Publicado: (2024)
Hate Speech Detection using Large Language Models with Data Augmentation and Feature Enhancement
por: Nge, Brian Jing Hong, et al.
Publicado: (2026)
por: Nge, Brian Jing Hong, et al.
Publicado: (2026)
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models
por: Wen, Xumeng, et al.
Publicado: (2025)
por: Wen, Xumeng, et al.
Publicado: (2025)
Retrieval-Augmented Generation for Large Language Models: A Survey
por: Gao, Yunfan, et al.
Publicado: (2023)
por: Gao, Yunfan, et al.
Publicado: (2023)
Ejemplares similares
-
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
por: Xu, Zexing, et al.
Publicado: (2024) -
STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
por: Lee, Kyumin, et al.
Publicado: (2025) -
MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
por: Li, Yichuan, et al.
Publicado: (2024) -
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
por: Mou, Guanyi, et al.
Publicado: (2024) -
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
por: Wang, Ziqing, et al.
Publicado: (2025)