Data Augmentation

Data Augmentation Based on Selective Masking of Language Models for One Health Context EACL 2026 Data-Centric Approach at the LoResMT 2026 Turkic Translation Challenge: Russian-Kyrgyz EACL 2026 Data-Efficient and Contact-Rich Manipulation Through Diffusion Augmentation and Vision-Language Models AAAI 2026 Denoising Mixup for Regression AAAI 2026 DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation EACL 2026 Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data AAAI 2026 Diffusion Noise Optimization for Synthetic VLM Training WACV 2026 DiRe: Diversity-promoting Regularization for Dataset Condensation WACV 2026 DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data AAAI 2026 DS2-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning EACL 2026 Enhancing Urdu Sentiment Classification through Instruction-Tuned LLMs and Cross-Lingual Transfer EACL 2026 Evaluating Online Moderation via LLM-Powered Counterfactual Simulations AAAI 2026 Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model AAAI 2026 Flora: Effortless Context Construction to Arbitrary Length and Scale AAAI 2026 Food Image Generation on Multi-Noun Categories WACV 2026 Frequency-Dependent Scheduled Schrödinger Bridge for Underwater Acoustic Signal Denoising AAAI 2026 Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-training WACV 2026 From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench AAAI 2026 FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026 FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction AAAI 2026 Generating-Filtering-Ranking: A Three-Stage MultiModal Data Augmentation Framework Under Partial Modality Missing AAAI 2026 Generating Risky Samples with Conformity Constraints via Diffusion Models AAAI 2026 Generative AI-Driven Data Transformation for Enhanced Machine Learning Performance (Student Abstract) AAAI 2026 Guideline-Consistent Segmentation via Multi-Agent Refinement AAAI 2026 HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning AAAI 2026