HiL-Bench B
AI benchmark · Coding
- Publisher
- Scale AI
- On X
- @scale_ai ↗
- Tier
- B why
- Snapshot
Full listing name: HiL-Bench (2026-04-13)
Latest from Scale AI on X
@scale_ai ↗What is HiL-Bench?
HiL-Bench measures agents' help-seeking judgment (selective escalation): detecting missing, ambiguous or contradictory information in software engineering and text-to-SQL tasks and asking targeted questions via an ask_human() tool.
Coding mostly
“HiL-Bench includes two domains: software engineering and text-to-SQL.”
labs.scale.com/leaderboard/hil ↗General capability
“HiL-Bench (Human-in-Loop Benchmark) measures help-seeking judgment in agents”
labs.scale.com/leaderboard/hil ↗
Who built HiL-Bench
Scale AI built it
“We design HiL-Bench to reflect this; tasks in this benchmark require agents to ask the right questions for full clarity”
labs.scale.com/leaderboard/hil ↗
Tier B
Established: 15 or more models scored, or curated RL directories rate 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.
- 10 models scored
- built by Scale AI
- in curated RL directories (4 pts)
How we got to tier B
- Adoption: 10 models scored; built by Scale AI. Tier C.
- Not yet read on X.
- In curated RL directories: 4 points, a floor of B. Raised to B.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Where HiL-Bench sits
Its realm in the universe, live. Hover a star for its name; click to open it. Open it in the universe
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.