Chen-Wei Xie

Higher resolution in real-time audio-visual interactions can be achieved without sacrificing latency, enabling clearer agent representation in conversations.

Sub-second duplex audio-visual communication is now achievable with a single, unified model that eliminates the latency of traditional cascaded systems.

Current LVLMs are inadequate at fine-grained image recognition, revealing critical bottlenecks in visual and semantic processing that need urgent attention.

Data skew can cripple Snowpark UDF performance, but DySkew's dynamic redistribution slashes execution time and boosts resource utilization in real-world workloads.

VLMs struggle to simultaneously optimize for both logical accuracy and aesthetics when generating academic illustrations, a challenge that test-time scaling can significantly alleviate.