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Data Augmentation

3,648 papers

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Papers

Enhancing Online Grooming Detection via Backtranslation Augmentation COLING 2025 Enhancing Sequential Recommendation with Global Diffusion AAAI 2025 Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection IJCNLP 2025 Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning ACL 2025 Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data CVPR 2025 Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts EMNLP 2025 Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval EMNLP 2025 EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision AAAI 2025 Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation ACL 2025 Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection ACL 2025 Explicit and Implicit Data Augmentation for Social Event Detection ACL 2025 Explicit Relational Reasoning Network for Scene Text Detection AAAI 2025 Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining EMNLP 2025 Extracting Software Mentions and Relations using Transformers and LLM-Generated Synthetic Data at SOMD 2025 ACL 2025 FABRIC: Fully-Automated Broad Intent Categorization in E-commerce EMNLP 2025 Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation ACL 2025 FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only ACL 2025 Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning IJCAI 2025 FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring ACL 2025 Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning CVPR 2025 FINDR: A Fast Influential Data Selector for NL2Code Pretraining IJCNLP 2025 FiNE: Filtering and Improving Noisy Data Elaborately with Large Language Models NAACL 2025 FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining EMNLP 2025 FJWU_Squad at SemEval-2025 Task 1: An Idiom Visual Understanding Dataset for Idiom Learning SemEval 2025 FlexDoc: Parameterized Sampling for Diverse Multilingual Synthetic Documents for Training Document Understanding Models EMNLP 2025