yuanhe zhang

Large Audio Language Models (LALMs) have been widely applied in real-time scenarios, such as in-car assistants and online meeting comprehension. In practice, audio inputs are often corrupted by device and environmental noise, leading to performance degradation. However, existing LALM studies on n...

Large Language Model-based Multi-Agent Systems represent a promising paradigm for tackling complex problems through agent collaboration. However, the reliance on open-ended communication exposes a fundamental vulnerability: the collaborative process itself can be exploited and disrupted. In this...