data annotation

Aggregating Crowd of LLMs for Cost-Effective Data Annotation EACL 2026 COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values EACL 2026 Council of LLMs: Evaluating Capability of Large Language Models to Annotate Propaganda EACL 2026 EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services AAAI 2026 Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection CVPR 2026 Potato 2.0: A Comprehensive Annotation Platform with AI-in-the-Loop Support ACL 2026 Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey EACL 2026 ShefFriday at SemEval-2026 Task 9: LLM-Based Annotation Methods for Detecting Multilingual, Multicultural and Multievent Online Polarisation SemEval 2026 Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants ACL 2026 What's Wrong with Synthetic Data for Scene Text Recognition? A Strong Synthetic Engine with Diverse Simulations and Self-Evolution CVPR 2026 Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models EMNLP 2025 A Simple yet Efficient Prompt Compression Method for Text Classification Data Annotation Using LLM COLING 2025 Challenges and practical guidelines for atypical speech data collection, annotation, usage and sharing: A multi-project perspective Interspeech 2025 Conflicts in Texts: Data, Implications and Challenges EMNLP 2025 CrowdAgent: Multi-Agent Managed Multi-Source Annotation System EMNLP 2025 ELFS: Label-Free Coreset Selection with Proxy Training Dynamics ICLR 2025 Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models NAACL 2025 Interactive platform for the exploration of large-scale ‘living’ systematic maps ACL 2025 Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems COLING 2025 On Integrating LLMs Into an Argument Annotation Workflow ACL 2025 Optimal and Efficient Binary Questioning for Accelerated Annotation AAAI 2025 Personas with Attitudes: Controlling LLMs for Diverse Data Annotation ACL 2025 Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation ACL 2025 QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums NAACL 2025 RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers COLING 2025