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Data Augmentation

3622 directly classified papers

Papers per year

Papers

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs EMNLP 2025
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning EMNLP 2025
Pragyaan: Designing and Curating High-Quality Cultural Post-Training Datasets for Indian Languages EMNLP 2025
Scaling Low-Resource MT via Synthetic Data Generation with LLMs EMNLP 2025
CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech EMNLP 2025
More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning EMNLP 2025
CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents EMNLP 2025
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning EMNLP 2025
NLP for preserving Torlak, a vulnerable low-resource Slavic language COLING 2025
VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction COLING 2025
Dunamu ML at the Financial Misinformation Detection Challenge Task: Improving Supervised Fine-Tuning with LLM-based Data Augmentation COLING 2025
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition EMNLP 2025
CompCap: Improving Multimodal Large Language Models with Composite Captions ICCV 2025
Transplant Then Regenerate: A New Paradigm for Text Data Augmentation EMNLP 2025
We Need to Measure Data Diversity in NLP — Better and Broader EMNLP 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data CVPR 2025
Assessing the Role of Data Quality in Training Bilingual Language Models EMNLP 2025
S2Gaussian: Sparse-View Super-Resolution 3D Gaussian Splatting CVPR 2025
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis CVPR 2025
All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising CVPR 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025
Low-Biased General Annotated Dataset Generation CVPR 2025
Generative Hard Example Augmentation for Semantic Point Cloud Segmentation CVPR 2025
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025