MinerU-Popo: Universal Post-Processing Model for Structured Document Parsing · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2605.24973/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTMinerU-Popo: Universal Post-Processing Model for Structured Document Parsing — mentioned by jbarrowhttps://news.ycombinator.com/item?id=48654438urn:hackerpapers:mention:2605.24973:48654438Wed, 24 Jun 2026 02:33:39 GMT<p>I&#x27;m always glad to see more multi-page work in VLM-based OCR. Especially single-pass. One of the few other multi-page papers from recently, MinerU-Popo, treats fixing up multi-page outputs as a post-processing correction step (https://arxiv.org/abs/2605.24973). Interesting to see the drop-off in quality as you up page count, though. I also think the attention approach (always attend to the image/prefix, with a sliding window for local context) is neat! I do wish they updated their comparison table to include more recent work (that scores marginally better on OmniDocBench), like dots.mocr.</p><p><a href="https://hackerpaper.kaipfister.de/p/2605.24973/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CV