Shang-Da Wu

MUUNRiver-Bench is presented, a diagnostic benchmark whose reference-audio queries use natural-language instructions to define relevance, and task-wise rank reversals reveal complementary biases: acoustic encoders favour local identity, whereas text-aligned encoders favour semantic relations.

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.