Firehose

18 SEP 2026 · Paper

OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue

This paper develops a system for training and evaluating AI models that can have natural-sounding conversations with users, using both audio and video input. Practitioners might care because this research could lead to more human-like chatbots that can understand and respond to users in a more intuitive way.

audio-visual dialogue multimodal models reinforcement learning dialogue systems multimodal benchmarks

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OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue