REPOGEO REPORT · LITE
AlibabaResearch/AdvancedLiterateMachinery
Default branch main · commit fb6187eb · scanned 5/21/2026, 1:31:52 AM
GitHub: 1,829 stars · 197 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface AlibabaResearch/AdvancedLiterateMachinery, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README introduction to clarify project type and current offerings
Why:
CURRENTThe ultimate goal of our research is to build a system that has high-level intelligence, i.e., possessing the abilities to read, think and create, so advanced that it could even surpass human intelligence one day in the future. We name this kind of systems **Advanced Literate Machinery (ALM)**. To start with, we currently focus on teaching machines to readfrom images and documents. In years to come, we will explore the possibilities of endowing machines with the intellectual capabilities of thinking and creating, catching up with and surpassing GPT-4 and GPT-4V.
COPY-PASTE FIXAdvanced Literate Machinery (ALM) is a research project by Alibaba's Tongyi Lab, dedicated to advancing machine intelligence in reading, thinking, and creating. This repository serves as a collection of original ideas, algorithms, and benchmarks, primarily focusing on multimodal models for document intelligence, OCR, and literacy evaluation. Our current work emphasizes teaching machines to read from images and documents, with future explorations into higher-level intellectual capabilities.
- highhomepage#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://duguang.alibaba.com/
- mediumabout#3Refine the repository's 'About' description
Why:
CURRENTA collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
COPY-PASTE FIXA research collection of original ideas, algorithms, and benchmarks for Advanced Literate Machinery, focusing on multimodal models for document intelligence, OCR, and literacy evaluation. Maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Apache Tika · recommended 1×
- OCRmyPDF · recommended 1×
- Tesseract OCR · recommended 1×
- LayoutParser · recommended 1×
- DocTR · recommended 1×
- CATEGORY QUERYWhat are robust open-source solutions for end-to-end document intelligence and text extraction?you: not recommendedAI recommended (in order):
- Apache Tika
- OCRmyPDF
- Tesseract OCR
- LayoutParser
- DocTR
- Unstructured
AI recommended 6 alternatives but never named AlibabaResearch/AdvancedLiterateMachinery. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhich vision-language models excel at scene text recognition and literacy evaluation benchmarks?you: not recommendedAI recommended (in order):
- Donut
- TrOCR
- Pix2Struct
- OpenCLIP
- RoBERTa
- DeBERTa
- PaddleOCR
AI recommended 7 alternatives but never named AlibabaResearch/AdvancedLiterateMachinery. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of AlibabaResearch/AdvancedLiterateMachinery?passAI named AlibabaResearch/AdvancedLiterateMachinery explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts AlibabaResearch/AdvancedLiterateMachinery in production, what risks or prerequisites should they evaluate first?passAI named AlibabaResearch/AdvancedLiterateMachinery explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo AlibabaResearch/AdvancedLiterateMachinery solve, and who is the primary audience?passAI did not name AlibabaResearch/AdvancedLiterateMachinery — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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AlibabaResearch/AdvancedLiterateMachinery — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite