data augmentation

Generating Diverse Training Samples for Relation Extraction with Large Language Models ACL 2025 Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension ICLR 2025 Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model ICCV 2025 Generative Data Augmentation for Improving Semantic Classification AACL 2025 Generative Data Mining with Longtail-Guided Diffusion ICML 2025 Generative Hard Example Augmentation for Semantic Point Cloud Segmentation CVPR 2025 Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images WACV 2025 Ges3ViG : Incorporating Pointing Gestures into Language-Based 3D Visual Grounding for Embodied Reference Understanding CVPR 2025 GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation AAAI 2025 GoP2Vec: A few shot learning for pronunciation assessment with goodness of pronunciation (GoP) based representations from an i-vector framework and augmentation Interspeech 2025 Gradient Flush at Slavic NLP 2025 Task: Leveraging Slavic BERT and Translation for Persuasion Techniques Classification ACL 2025 GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection EMNLP 2025 Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation ICML 2025 Habib University at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection SemEval 2025 Habib University at SemEval-2025 Task 9: Using Ensemble Models for Food Hazard Detection SemEval 2025 HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models ICLR 2025 Heisenberg at BLP-2025 Task 1: Bangla Hate Speech Classification using Pretrained Language Models and Data Augmentation AACL 2025 High-Quality Complex Text-to-SQL Data Generation through Chain-of-Verification IJCNLP 2025 HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation AAAI 2025 How Real Are Synthetic Therapy Conversations? Evaluating Fidelity in Prolonged Exposure Dialogues EMNLP 2025 HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models ICCV 2025 HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting ICLR 2025 HSDA: High-Frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation WACV 2025 HTU at SemEval-2025 Task 11: Divide and Conquer - Multi-Label emotion classification using 6 DziriBERTs submodels with Label-fused Iterative Mask Filling technique for low-resource data augmentation. SemEval 2025 HU at SemEval-2025 Task 9: Leveraging LLM-Based Data Augmentation for Class Imbalance SemEval 2025