When2Call Multi-Turn D
AI benchmark · Agentic
What is When2Call Multi-Turn?
When2Call Multi-Turn measures whether an assistant selects the correct response policy as a conversation develops: calling a tool, asking for clarification, refusing due to lack of tools, or responding directly.
General capability mostly
“tests whether an assistant selects the correct response policy as a conversation develops, including when to call a tool, ask for clarification”
research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-… ↗
Who built When2Call Multi-Turn
Led by NVIDIA.
Paper: arxiv.org/html/2607.07050v2 ↗
Lineage
Benchmarks this one is built on and built from: versions, subsets, extensions and the indexes that combine them.
Built on
When2Call original
Tier D
Long tail: little or no usage data yet.
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.
- no usage data
- in curated RL directories (1 pt)
How we got to tier D
- Adoption: no usage data. Tier D.
- On X: unclear, none buzz No move.
- In curated RL directories: 1 point, a floor of none.
- 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 When2Call Multi-Turn sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-29 snapshot.