2 papers
cs.RO2026
FailBench: How Reliable are VLMs at Judging Robot Task Success?
Zaruhi Navasardyan, Tatul Danielyan, Hrant Davtyan
Vision-Language Models (VLMs) are increasingly used to evaluate robot manipulation outcomes, but existing benchmarks offer limited evidence of cross-domain generalization. We intro…
cs.CL2026
Cloud and On-Premises Deployment of Uzbek Legal RAG via Targeted Retriever Fine-Tuning
Tatul Danielyan, Mariam Avetisyan, Hrant Davtyan
Deploying large language models for legal question answering raises challenges that general-purpose leaderboards do not capture, particularly for low-resource languages and under h…