Wentao Hu

BEE reduces inference latency and tool redundancy, achieving state-of-the-art performance in visual perception while maintaining competitive reasoning capabilities.

Continuous latent visual representations can drastically improve multimodal reasoning efficiency and performance, outpacing traditional discrete output methods.

RCA boosts contextual faithfulness in LLMs by amplifying relevant signals without increasing computational costs or altering attention distributions.