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Data Augmentation

3622 directly classified papers

Papers per year

Papers

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners EMNLP 2024
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection SEMEVAL 2024
Boundary Matters: A Bi-Level Active Finetuning Method NIPS 2024
PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CVPR 2024
TüDuo at SemEval-2024 Task 2: Flan-T5 and Data Augmentation for Biomedical NLI NAACL 2024
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection NAACL 2024
CYUT at SemEval-2024 Task 7: A Numerals Augmentation and Feature Enhancement Approach to Numeral Reading Comprehension NAACL 2024
CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data Alignment NAACL 2024
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation NIPS 2024
Byun at SemEval-2024 Task 6: Text Classification on Hallucinating Text with Simple Data Augmentation NAACL 2024
ATLAS: A System for PDF-centric Human Interaction Data Collection NAACL 2024
Extremely Weakly-supervised Text Classification with Wordsets Mining and Sync-Denoising NAACL 2024
MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models NAACL 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation NIPS 2024
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References NAACL 2024
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models NAACL 2024
Create! Don’t Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation NAACL 2024
CoUDA: Coherence Evaluation via Unified Data Augmentation NAACL 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024
Generating Mental Health Transcripts with SAPE (Spanish Adaptive Prompt Engineering) NAACL 2024
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP NAACL 2024
JobSkape: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching EACL 2024
ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs EACL 2024
German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data EACL 2024
Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse EACL 2024