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diversity sampling

20 papers

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Co-occurring keywords

active learning (1301) determinantal point process (140) uncertainty sampling (69) data efficiency (125) large language model (13587) data selection (221) language model (4599) instruction tuning (838) text generation (2913) uncertainty quantification (1393)

Papers

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