most citedModel-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs

3 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SE2026★ 1 cited

The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes

Redacted by arXiv

This document consolidates publicly reported technical details about Metas Llama 4 model family. It summarizes (i) released variants (Scout and Maverick) and the broader herd conte…

cs.HC2024★ 3 cited

Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs

Yifan Wang, David Stevens, Pranay Shah +10

The growing demand for AI training data has transformed data annotation into a global industry, but traditional approaches relying on human annotators are often time-consuming, lab…