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cs.CL2026
Scaling Synthetic Pre-training Data and Evaluation for Indic LLMs
Abhinav Khattar, Aishwarya Chhabra, Ameya Velingker +24
Building capable language models for India requires scalable multilingual data and robust evaluation. We introduce Nemotron-Pretraining-Indic-v1, a synthetic pretraining corpus of…
cs.CL2026
IndicFDB: Benchmarking Full-Duplex Voice Agents across Indian Languages
Rajarshi Roy, Shobhit Banga, Jonathan Raiman +12
Full-duplex voice agents must handle pauses, take turns, backchannel, and respond to user interruptions in real time. Full-Duplex-Bench evaluates these behaviors, but its English-o…