Shengpeng Ji

Full-duplex multimodal interaction and deep agentic reasoning no longer require separate systems: Gander delivers native barge-in capabilities and streaming video-audio understanding by decoupling reflex-level generation from deliberate task execution.

Achieving a staggering 54.67× speedup in text-to-video-audio generation without sacrificing quality could revolutionize real-time multimedia applications.

Bridging the reasoning gap, X$^3$-OPD enables audio-language models to outperform their text-based counterparts in logical reasoning tasks.

A unified taxonomy of audio editing tasks reveals the transformative potential of foundation models in reshaping how we interact with sound.

Full-duplex dialogue systems are often mischaracterized, with many claiming capabilities they cannot deliver due to training limitations.