diversity sampling

Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025 Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025 Efficient Diversity-based Experience Replay for Deep Reinforcement Learning IJCAI 2025 MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space ACL 2025 Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection EMNLP 2025 Annotator-Centric Active Learning for Subjective NLP Tasks EMNLP 2024 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024 Learnability Matters: Active Learning for Video Captioning NeurIPS 2024 Active Learning for Abstractive Text Summarization EMNLP 2022 DeepGen: Diverse Search Ad Generation and Real-Time Customization EMNLP 2022 Entropy-Based Active Learning for Object Detection With Progressive Diversity Constraint CVPR 2022 One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams ICML 2022 Active Learning by Acquiring Contrastive Examples EMNLP 2021 Batch Active Learning at Scale NeurIPS 2021 Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient AACL 2020 Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs COLING 2020 Fair and Diverse DPP-Based Data Summarization ICML 2018 Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem NeurIPS 2018 Efficient Sampling for k-Determinantal Point Processes AISTATS 2016