FACTS Grounding V1 D
AI benchmark · Reasoning
What is FACTS Grounding V1?
FACTS Grounding V1 measures whether model long-form responses are factually grounded in a supplied context document and address the user request, scored by multiple LLM judges.
General capability mostly
“FACTS Grounding v1 evaluated whether a model response is consistent with the given context document and user query about that document.”
arxiv.org/html/2512.10791v1 ↗“prompts were generated across a range of document lengths (up to 32k tokens) and various enterprise domains, including finance, technology, retail, medical, and legal.”
arxiv.org/html/2512.10791v1 ↗
Who built FACTS Grounding V1
Led by Google DeepMind (Jacovi et al.).
Paper: arxiv.org/html/2512.10791v1 ↗
Lineage
Benchmarks this one is built on and built from: versions, subsets, extensions and the indexes that combine them.
Built on
FACTS Grounding original
Derived benchmarks
FACTS Grounding v2 later version
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.
- Not yet read on X.
- 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 FACTS Grounding V1 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, 2026-10-21 snapshot.