כתבה
arXiv cs.AI ·
Lot Machine: פיצוח רב-תפקודי של מכירות מכרזים
Lot Machine: Multimodal Lot Extraction from Auction Catalogs
מכונת Lot: פיצוח רב-תפקודי של מכירות מכרזים. פיתוח פיצוח רב-תפקודי של מכירות מכרזים, כולל שימוש ב-Vision-Language Models (VLMs) ומשחקי תגובה.
תקציר מקורי באנגליתarXiv:2608.30510v3 Announce Type: replace-cross Abstract: For provenance research and art market studies, auction catalogs are an essential resource to trace specific objects over time and space. While historical auction catalogs follow established domain conventions, their internal formatting remains highly variable, and their large-scale analysis is currently restricted by the lack of machine-readable representations of the auction lots. We propose a pipeline to automatically extract structured lot-level metadata from German Sales, a large database of historical auction and sales catalogs from the 19th and 20th centuries. Using a manually annotated test set of representative catalog pages, we evaluate Vision-Language Models (VLMs) under varying prompt strategies and constrained decoding
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