RAGTruth C
AI benchmark · Decision Models
- Domains
- Decision Models
- Tier
- C why
- Snapshot
What is RAGTruth?
RAGTruth annotates unsupported or contradictory content in answers generated with retrieved evidence. It supports evaluation of hallucination detectors across question answering, summarization, and data-to-text tasks.
Tier C
Niche: a handful of models scored, or built by an RL vendor.
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.
- 11 models scored
- in curated RL directories (2 pts)
How we got to tier C
- Adoption: 11 models scored. Tier C.
- Not yet read on X.
- In curated RL directories: 2 points, a floor of C.
- 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.