data selection

Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models ACL 2025 Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts EMNLP 2025 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 A Training-free Synthetic Data Selection Method for Semantic Segmentation AAAI 2025 Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts ACL 2025 Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025 CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task EMNLP 2025 Character Error Rate Estimation for Semi-Supervised Training of Speech Recognition for Arabic Dialects Interspeech 2025 COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation CVPR 2025 Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection ICLR 2025 CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025 Cross-lingual Data Selection Using Clip-level Acoustic Similarity for Enhancing Low-resource Automatic Speech Recognition Interspeech 2025 D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning IJCAI 2025 Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs EMNLP 2025 DataMan: Data Manager for Pre-training Large Language Models ICLR 2025 Data Selection for ERMs COLT 2025 Data Selection via Optimal Control for Language Models ICLR 2025 Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025 DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025 DELIFT: Data Efficient Language model Instruction Fine-Tuning ICLR 2025 Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models EMNLP 2025 Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning EMNLP 2025 EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness IJCAI 2025 Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering Interspeech 2025