A scalable literature-synthesis pipeline that retrieves, filters, extracts, summarizes, and converts AR-model papers into runnable training scripts, with F1 > 0.85 extraction and three reproduction case studies.
Advances in Neural Information Processing Systems, 33:1877–1901
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A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature
A scalable literature-synthesis pipeline that retrieves, filters, extracts, summarizes, and converts AR-model papers into runnable training scripts, with F1 > 0.85 extraction and three reproduction case studies.