Author

Keshav Dhandhania

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#artificial intelligence Review Sep 2026

$\tau$-Multilingual: Benchmarking Voice Agents Across Languages

English-only benchmarks expose only a narrow slice of voice-agent behavior. We introduce $\tau$-Multilingual, extending $\tau$-Voice to Spanish, Brazilian Portuguese, Hindi, Korean, and Mandarin with native-speaker review and evaluation of generated language and spoken output. Across 4,500 full-duplex calls and five vo...

Soham Ray, Edgard dos Santos Paiva, Rubén Valenzuela et al. · 0 citations

#artificial intelligence Preprint Sep 2026

$\tau^\tau$-Bench: An Environment for End-To-End, Realistic Agent Construction

LLM agents are rapidly becoming production software, deployed to handle customer service, adjudicate disputes, and operate internal systems. Notably, the work of building them is increasingly handed to coding agents, yet existing benchmarks say little about whether an AI system can deliver one under the conditions of a...

Shi-Xiu Quan, Keshav Dhandhania, Karthik R. Narasimhan et al. · 1 citation