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This work introduces FailBench, a benchmark for robot failure detection comprising 2,197 manipulation attempts across 14 public sources (12 real-world, 2 simulated), and shows that input-level intervention--spatially localizing and cropping outcome-relevant regions--improves the top detector by 2.4 percentage points wi...
A matrix of 51 models on 12 physical AI benchmarks, selected from a registry of 51 benchmarks and 152 models by reporting density is constructed, combining scores from model cards and benchmark papers with their own evaluation runs under each benchmark's official protocol.
This work reports on building and operating a retrieval-augmented legal assistant for Uzbek that must run in two regimes: a managed cloud service that maximizes answer quality within a per-token cost ceiling, and an on-premises deployment for clients whose legal data may not leave their infrastructure, restricting us t...
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