data mixing

Rethinking Data Mixing from the Perspective of Large Language Models ACL 2026 TableMix: Enhancing Multimodal Table Reasoning in MLLMs from a Data-Centric Perspective CVPR 2026 TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-training ACL 2026 Aioli: A Unified Optimization Framework for Language Model Data Mixing ICLR 2025 AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025 Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning ICML 2025 COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning NAACL 2025 Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance ICLR 2025 Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models ICML 2025 Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts NAACL 2025 SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025 BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning CVPR 2024 Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation ICML 2024 Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection SemEval 2024 A Simple Data Mixing Prior for Improving Self-Supervised Learning CVPR 2022 Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation NeurIPS 2022 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NeurIPS 2022