data diversity

Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 Does Data Scaling Lead to Visual Compositional Generalization? ICML 2025 Empirical Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs COLING 2025 Global Eye: Breaking the “Fixed Thinking Pattern” during the Instruction Expansion Process ACL 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 On Teacher Hacking in Language Model Distillation ICML 2025 SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025 SDAS: Semantic Data Acquisition System for Minimizing Redundancy and Maximizing Diversity AAAI 2025 We Need to Measure Data Diversity in NLP — Better and Broader EMNLP 2025 Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone AAAI 2025 Data Diversity Matters for Robust Instruction Tuning EMNLP 2024 Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification AAAI 2024 On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm CVPR 2024 Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation ICML 2023 Improving multimodal datasets with image captioning NeurIPS 2023 Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias NeurIPS 2023 LayoutDM: Transformer-Based Diffusion Model for Layout Generation CVPR 2023 On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond NeurIPS 2023 On the Connection between Pre-training Data Diversity and Fine-tuning Robustness NeurIPS 2023 Why Can’t Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity EACL 2023 Can Data Diversity Enhance Learning Generalization? COLING 2022 EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering ACL 2021 Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness EMNLP 2020 The Externalities of Exploration and How Data Diversity Helps Exploitation COLT 2018