3 papers
cs.CL2026
-Multilingual: Benchmarking Voice Agents Across Languages
Soham Ray, Edgard dos Santos Paiva, Ruben Valenzuela +3
English-only benchmarks expose only a narrow slice of voice-agent behavior. We introduce -Multilingual, extending -Voice to Spanish, Brazilian Portuguese, Hindi, Korean, and…
cs.AI2026
-Bench: An Environment for End-To-End, Realistic Agent Construction
Quan Shi, Keshav Dhandhania, Karthik Narasimhan +1
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 i…
cs.SD2026
-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains
Soham Ray, Keshav Dhandhania, Victor Barres +1
Full-duplex voice agents--systems that listen and speak simultaneously--are rapidly moving from research to production. However, existing evaluations address conversational dynamic…