conftrace_

data selection

250 papers

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Co-occurring keywords · papers mentioning both

domain adaptation (43) large language model (42) neural machine translation (38) instruction tuning (28) language model (26) transfer learning (23) active learning (20) curriculum learning (18) automatic speech recognition (12) self-supervised learning (11)

Papers

Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity EMNLP 2025 Efficient Top-m Data Values Identification for Data Selection ICLR 2025 Enhancing LLMs via High-Knowledge Data Selection AAAI 2025 Enhancing Prediction Performance through Influence Measure ICLR 2025 Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning CVPR 2025 FINDR: A Fast Influential Data Selector for NL2Code Pretraining IJCNLP 2025 FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining EMNLP 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 Harnessing Diversity for Important Data Selection in Pretraining Large Language Models ICLR 2025 Improving Data Efficiency via Curating LLM-Driven Rating Systems ICLR 2025 Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities EMNLP 2025 Improving Pretraining Data Using Perplexity Correlations ICLR 2025 Influence-driven Curriculum Learning for Pre-training on Limited Data EMNLP 2025 InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025 JI2S: Joint Influence‐Aware Instruction Data Selection for Efficient Fine‐Tuning EMNLP 2025 LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs ACL 2025 LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025 LongAttn: Selecting Long-context Training Data via Token-level Attention ACL 2025 MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models ICML 2025 Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness ICCV 2025 Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models ACL 2025 Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning EMNLP 2025 MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space ACL 2025 More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning EMNLP 2025 Navigating Towards Fairness with Data Selection AAAI 2025