Category

Document Understanding: RL environments and AI benchmarks

AI benchmarks
23
Shares entries with
1 category

Snapshot 2026-10-11. How categories are built · Where the data comes from

In short

What are RL environments for document understanding?
A simulated workplace where an AI agent practises a task (a code repository, a browser, business software) and an automatic grader scores each attempt. Labs train on thousands of these attempts. Bought to improve models.

Only benchmarks use the Document Understanding tag: the RL environment directories file their vendors under other categories. Browse all RL environments.

AI benchmarks 23

None confirmed yet.

23 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
  1. CiteVQA
  2. DocAtlas
  3. DocScope
  4. MechVQA
  5. MMDocBench
  6. VAREX-Bench
  7. RPC-Bench
  8. MORE
  9. BIM-Edit
  10. ChartFI
  11. Dr. DocBench
  12. ChartREG++
  13. Doc-PP
  14. pdfQA
  15. SIN-Bench
  16. VotIE: Information Extraction from Meeting Minutes
  17. Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images
  18. DUE Benchmark
  19. DocILE
  20. PulseBench-Tab
  21. LongDocURL
  22. PubTables-1M
  23. Self-Ensembling Vision-Language Models for Chart Data Extraction

Domains that overlap with Document Understanding

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