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onPanda is an interactive tool that uses token-level correction to efficiently annotate LLM alignment data and agent trajectories, reducing median annotation time by 52%.
The article introduces EEG-to-Report, a browser-based framework for annotating clinical EEG data and extracting features to create AI-ready datasets, with an auto-report module combining convolutional networks and large language models for generating clinical narratives.
Supervision is an open-source computer vision visualization tool that enables bounding boxes, tracking, dataset format conversion, heatmaps, etc. with a single command. Used by 6500+ projects, with 40k stars on GitHub.
ACAT is a web-based collaborative annotation platform supporting four Aspect-Based Sentiment Analysis (ABSA) workflows, featuring an automated ETL pipeline that computes Inter-Annotator Agreement metrics at export to produce training-ready datasets. Validated on 1,002 restaurant reviews, it achieves a median annotation time of 31.58 seconds and raw IAA up to 0.86.