annotation budget

Expert Advice with Costly Observations UAI 2026 How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images? MIDL 2025 Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs EMNLP 2025 In-Context Learning on a Budget: A Case Study in Token Classification NAACL 2025 The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation AAAI 2025 Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation EMNLP 2024 Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning EMNLP 2024 Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023 ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation EMNLP 2023 Revisiting Sample Size Determination in Natural Language Understanding ACL 2023 Towards Free Data Selection with General-Purpose Models NeurIPS 2023 Active Sampling for Text Classification with Subinstance Level Queries AAAI 2022 CHIA: CHoosing Instances to Annotate for Machine Translation EMNLP 2022 Toward More Effective Human Evaluation for Machine Translation ACL 2022 Learning with Different Amounts of Annotation: From Zero to Many Labels EMNLP 2021 Active Learning for Coreference Resolution using Discrete Annotation ACL 2020 Active Learning for Domain Classification in a Commercial Spoken Personal Assistant Interspeech 2019 Practical Obstacles to Deploying Active Learning EMNLP 2019 Learning From Noisy Singly-labeled Data ICLR 2018