CL-bench A
AI benchmark · Long Context
- Publisher
- Minimax M3 Launch Post
- Domains
- Long Context
- Tier
- A why
- Snapshot
What is CL-bench?
Context-learning benchmark with complex contexts, task instructions, and rubric-based verification.
Tier A
A
Widely used: a lab reports it, or 50 or more models are scored on it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- reported by MiniMax
- in curated RL directories (1 pt)
On X · unclear, low buzz, from 2 posts about CL-bench in the last month
A few posts mention CL-Bench, mostly a fact-style share of a Berkeley/Snorkel paper's 25.4% continual-learning result; possible name confusion with other benchmarks.
How we got to tier A
- Adoption: reported by MiniMax. Tier A.
- On X: unclear, low buzz. “A few posts mention CL-Bench, mostly a fact-style share of a Berkeley/Snorkel paper's 25.4% continual-learning result; possible name confusion with other benchmarks.” No move.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.