data sampling

Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View AAAI 2026 Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025 Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts NAACL 2025 Hybrid Data Sampling for ASR: Integrating Acoustic Diversity and Transcription Uncertainty Interspeech 2025 Learning to Sample in Stochastic Optimization UAI 2025 ActiveDC: Distribution Calibration for Active Finetuning CVPR 2024 Balanced Data Sampling for Language Model Training with Clustering ACL 2024 CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions EMNLP 2024 Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment AAAI 2024 Swift Sampler: Efficient Learning of Sampler by 10 Parameters NeurIPS 2024 TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning EMNLP 2024 Target-Aware Language Modeling via Granular Data Sampling EMNLP 2024 Data Sampling and (In)stability in Machine Translation Evaluation ACL 2023 Frequency Balanced Datasets Lead to Better Language Models EMNLP 2023 Influence Scores at Scale for Efficient Language Data Sampling EMNLP 2023 Reinforced Approximate Exploratory Data Analysis AAAI 2023 Skill-it! A data-driven skills framework for understanding and training language models NeurIPS 2023 AutoSampling: Search for Effective Data Sampling Schedules ICML 2021 Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity EMNLP 2021 Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021 IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets NAACL 2021 Improving Punctuation Restoration for Speech Transcripts via External Data EMNLP 2021 Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements SemEval 2020 ScopeFlow: Dynamic Scene Scoping for Optical Flow CVPR 2020 Class-Balanced Loss Based on Effective Number of Samples CVPR 2019