data labeling

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving CVPR 2026 Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models COLING 2025 EEVEE: An Easy Annotation Tool for Natural Language Processing EACL 2024 Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse EACL 2024 Alfred: A System for Prompted Weak Supervision ACL 2023 Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions AAAI 2023 Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models EMNLP 2023 The Importance of Human-Labeled Data in the Era of LLMs IJCAI 2023 AI Assisted Data Labeling with Interactive Auto Label AAAI 2022 Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data NAACL 2022 Active clustering for labeling training data NeurIPS 2021 Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling ICLR 2021 Want To Reduce Labeling Cost? GPT-3 Can Help EMNLP 2021 Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot COLING 2020 Sampling Bias in Deep Active Classification: An Empirical Study EMNLP 2019 SMART: An Open Source Data Labeling Platform for Supervised Learning JMLR 2019 Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research JMLR 2018 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing NeurIPS 2015 Active Learning For Outdoor Obstacle Detection RSS 2005