Tootfinder

Logics-Parsing Technical Report
Xiangyang Chen, Shuzhao Li, Xiuwen Zhu, Yongfan Chen, Fan Yang, Cheng Fang, Lin Qu, Xiaoxiao Xu, Hu Wei, Minggang Wu
https://arxiv.org/abs/2509.19760

Logics-Parsing Technical Report
Recent advances in Large Vision-Language models (LVLM) have spurred significant progress in document parsing task. Compared to traditional pipeline-based methods, end-to-end paradigms have shown their excellence in converting PDF images into structured outputs through integrated Optical Character Recognition (OCR), table recognition, mathematical formula recognition and so on. However, the absence of explicit analytical stages for document layouts and reading orders limits the LVLM's capability…

#WritersCoffeeClub
16. What was the hardest writerly lesson for you to learn? Or unlearn?
17. Should modern writers worry about proving their work is not generated by an LLM?
18. Have you written something blasphemous? Tell us about it.
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16. How to cut words and squeeze myself into character limits.
That's why I generally do not set character limits.