Avalon-ToM-Bench B
AI benchmark
- Tier
- B why
- Snapshot
What is Avalon-ToM-Bench?
Avalon-ToM-Bench measures fine-grained Theory of Mind in language models through perspective-constrained True/False queries built on the asymmetric-information mechanics of The Resistance: Avalon.
General capability mostly
“A fine-grained benchmark for **Theory of Mind (ToM)** in language models”
github.com/yenshan0530/Avalon-ToM-Bench ↗“a fine-grained benchmark that operationalizes ToM through the asymmetric-information mechanics of The Resistance: Avalon”
arxiv.org/abs/2608.09638v1 ↗
Paper: arxiv.org/abs/2608.09638v1 ↗
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.
- 19 models scored
- in curated RL directories (1 pt)
How we got to tier B
- Adoption: 19 models scored. Tier B.
- 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 Avalon-ToM-Bench 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, 2026-10-19 snapshot.