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Data Augmentation

3622 directly classified papers

Papers per year

Papers

CR4-NarrEmote: An Open Vocabulary Dataset of Narrative Emotions Derived Using Citizen Science EMNLP 2025
CAARMA: Class Augmentation with Adversarial Mixup Regularization EMNLP 2025
SynC-LLM: Generation of Large-Scale Synthetic Circuit Code with Hierarchical Language Models EMNLP 2025
VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data EMNLP 2025
Skeletons Matter: Dynamic Data Augmentation for Text-to-Query EMNLP 2025
CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025
InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption CVPR 2025
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis AAAI 2025
IRIS-VIS: A New Dataset for Visibility Estimation in an Industrial Environment WACV 2025
Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models EMNLP 2025
CalligraphicOCR for Chinese Calligraphy Recognition EMNLP 2025
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition EMNLP 2025
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation EMNLP 2025
CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents EMNLP 2025
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance EMNLP 2025
OVFact: Measuring and Improving Open-Vocabulary Factuality for Long Caption Models EMNLP 2025
TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation EMNLP 2025
Assessing the Role of Data Quality in Training Bilingual Language Models EMNLP 2025
LLM-Driven Completeness and Consistency Evaluation for Cultural Heritage Data Augmentation in Cross-Modal Retrieval EMNLP 2025
Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining EMNLP 2025
Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection EMNLP 2025
PromotionGo at LeWiDi-2025: Enhancing Multilingual Irony Detection with Data-Augmented Ensembles and L1 Loss EMNLP 2025
GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction WACV 2025
AkibaNLP-TUT: Injecting Language-Specific Word-Level Noise for Low-Resource Language Translation EMNLP 2025
Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora ACL 2025