3 accepted papers
Although unified MLLMs aim to unify generation and understanding, they are considered to exhibit an internal gap, with understanding outperforming generation. Through large‑scale evaluation across multiple MLLMs and tasks, we confirm the widespread non‑unification of MLLMs, and demonstrate that it i…
In modern dialogue systems, the ability to implicitly infer user backgrounds from conversations and leverage this information for personalized assistance is crucial. However, the scarcity of high-quality data remains a fundamental challenge to evaluating and improving this capability. Traditional da
This paper studies the problem of acoustic source localization in room environments. It presents an improved steered response power (SRP) approach with low-complexity and trade-off prewhitening. This method consists of two steps. In the first one, the linear predictor that is used to model the speec…