Category

Cross-domain: RL environments and AI benchmarks

AI benchmarks
22
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Snapshot 2026-10-11. How categories are built · Where the data comes from

In short

What are RL environments for cross-domain?
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 Cross-domain tag: the RL environment directories file their vendors under other categories. Browse all RL environments.

AI benchmarks 22

None confirmed yet.

22 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
  1. CAIS Text Leaderboard
  2. APEX-1
  3. Cohere Embed 5 launch: ViDoRe V3 parsed-text average
  4. Cohere Embed 5 launch: FinanceBench text retrieval
  5. Cohere Embed 5 launch: FinQA text retrieval
  6. Cohere Embed 5 launch: ViDoRe V3 Finance
  7. Cohere Embed 5 launch: Parsed PDF full-suite average
  8. Cohere Embed 5 launch: Fused text-image average
  9. Cohere Embed 5 launch: Page-image finance average
  10. Cohere Embed 5 launch: European-language composite average
  11. Cohere Embed 5 launch: Japanese retrieval composite
  12. Cohere Embed 5 launch: Chinese retrieval composite
  13. Cohere Embed 5 launch: Korean retrieval composite
  14. Cohere Embed 5 launch: Arabic retrieval composite
  15. Cohere Embed 5 launch: Farsi retrieval composite
  16. Cohere Embed 5 launch: Hindi retrieval composite
  17. Cohere Embed 5 launch: Bengali retrieval composite
  18. Cohere Embed 5 launch: Telugu retrieval composite
  19. Cohere Embed 5 launch: Indonesian retrieval composite
  20. Cohere Embed 5 launch: Thai retrieval composite
  21. Cohere Embed 5 launch: Document throughput
  22. Cohere Embed 5 launch: Shared-space corpus/query pairings

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