MolmoSpaces Benchmark Debuts at RSS
notmahi · x · 2026-07-14
This post mainly announces that the author's team will present at the RSS 2026 poster session and welcomes questions. The real substance comes from the quoted content: they introduced MolmoSpaces and its corresponding MolmoSpaces-Bench.
The core claim is that this benchmark leverages "scale and diversity" to evaluate the performance of zero-shot policies across a massive number of previously unseen environments and observes model behavior under systematic variations. The author emphasizes that this type of evaluation provides richer insights than a single success rate.
Related event: MolmoSpaces and CAP Headed to RSS 2026(2 posts)→
More from Research
- Stanford Data-Centric AI Workshop reopens site, extends poster deadline — jure · 2026-10-26
- 'Vibe verification': ~60% of AI-written formal specs prove the wrong property — basedjensen · 2026-10-26
- Ito: a browser that detects browsing intent and auto-organizes tabs into Flows — andrewkuznet · 2026-10-26
- Cornell study says brains process language as linear sequences, challenging Chomsky's hierarchy — anirbanbandyo · 2026-10-26
- Hi3D V1.0 open-sourced with 2M training assets and 90% slicing success rate — kimmonismus · 2026-10-26
- Ortet evaluates 34 open-weight models on 50 health tasks, finds general leaderboards insufficient — elmanmansimov · 2026-10-26