data selection

Swift Sampler: Efficient Learning of Sampler by 10 Parameters NeurIPS 2024 Target-Aware Language Modeling via Granular Data Sampling EMNLP 2024 Towards a statistical theory of data selection under weak supervision ICLR 2024 TSDS: Data Selection for Task-Specific Model Finetuning NeurIPS 2024 Vicomtech@WMT 2024: Shared Task on Translation into Low-Resource Languages of Spain EMNLP 2024 "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection ICLR 2024 What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning ICLR 2024 Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection ACL 2024 Bayesian Data Selection JMLR 2023 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks NeurIPS 2023 Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023 D4: Improving LLM Pretraining via Document De-Duplication and Diversification NeurIPS 2023 Data Selection Curriculum for Abstractive Text Summarization EMNLP 2023 Data Selection for Language Models via Importance Resampling NeurIPS 2023 Enhancing Arabic Machine Translation for E-commerce Product Information: Data Quality Challenges and Innovative Selection Approaches EMNLP 2023 Fairness in Streaming Submodular Maximization over a Matroid Constraint ICML 2023 Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition Interspeech 2023 Improving training datasets for resource-constrained speaker recognition neural networks Interspeech 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023 Large-Scale Training Data Search for Object Re-Identification CVPR 2023 LayoutDM: Transformer-Based Diffusion Model for Layout Generation CVPR 2023 Learning Uncertainty for Unknown Domains with Zero-Target-Assumption ICLR 2023 MEAL: Stable and Active Learning for Few-Shot Prompting EMNLP 2023 Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources NeurIPS 2023 SEPT: Towards Scalable and Efficient Visual Pre-training AAAI 2023