Author

Tatul Danielyan

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#artificial intelligence Preprint Sep 2026

FailBench: How Reliable are VLMs at Judging Robot Task Success?

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...

Zaruhi Navasardyan, Tatul Danielyan, Hrant Davtyan · 1 citation

#natural language process... Preprint Aug 2026

Cloud and On-Premises Deployment of Uzbek Legal RAG via Targeted Retriever Fine-Tuning

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...

Tatul Danielyan, Mariam Avetisyan, Hrant Davtyan · 0 citations