Data Augmentation

More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning EMNLP 2025 Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning ACL 2025 MR-FIQA: Face Image Quality Assessment with Multi-Reference Representations from Synthetic Data Generation ICCV 2025 Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation ACL 2025 Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025 Multilingual Data Filtering using Synthetic Data from Large Language Models EMNLP 2025 Multi-Perspective Data Augmentation for Few-shot Object Detection ICLR 2025 MuPe Life Stories Dataset: Spontaneous Speech in Brazilian Portuguese with a Case Study Evaluation on ASR Bias against Speakers Groups and Topic Modeling COLING 2025 Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction NAACL 2025 Named Entity Recognition for the Irish Language NAACL 2025 NarrativeMiners at SemEval-2025 Task 10: Combating Manipulative Narratives in Online News SemEval 2025 Natural Language Inference Improves Compositionality in Vision-Language Models ICLR 2025 Navigating Towards Fairness with Data Selection AAAI 2025 NeMo-Inspector: A Visualization Tool for LLM Generation Analysis NAACL 2025 Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset ACL 2025 Neural Machine Translation for Agglutinative Languages via Data Rejuvenation ACL 2025 NLP for preserving Torlak, a vulnerable low-resource Slavic language COLING 2025 Nonlinear functional regression by functional deep neural network with kernel embedding JMLR 2025 Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification ICLR 2025 Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation RSS 2025 NTA at SemEval-2025 Task 11: Enhanced Multilingual Textual Multi-label Emotion Detection via Integrated Augmentation Learning SemEval 2025 ODDA: An OODA-Driven Diverse Data Augmentation Framework for Low-Resource Relation Extraction ACL 2025 OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup ICLR 2025 One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation AAAI 2025 On Evaluation Protocols for Data Augmentation in a Limited Data Scenario COLING 2025